2020
Cicirelli, F.; Gentile, A. F.; Greco, E.; Guerrieri, A.; Spezzano, G.; Vinci, A.
An Energy Management System at the Edge based on Reinforcement Learning Best Paper Proceedings Article
In: 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), IEEE, 2020, ISBN: 9781728173436.
Abstract | Links | BibTeX | Tag: Edge computing, Energy Management Systems, internet of things, multi-agent systems, Reinforcement Learning
@inproceedings{Cicirelli2020c,
title = {An Energy Management System at the Edge based on Reinforcement Learning},
author = {F. Cicirelli and A. F. Gentile and E. Greco and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1109/DS-RT50469.2020.9213697},
isbn = {9781728173436},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)},
journal = {Proceedings of the 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2020},
publisher = {IEEE},
abstract = {In this work, we propose an IoT edge-based energy management system devoted to minimizing the energy cost for the daily-use of in-home appliances. The proposed approach employs a load scheduling based on a load shifting technique, and it is designed to operate in an edge-computing environment naturally. The scheduling considers all together time-variable profiles for energy cost, energy production, and energy consumption for each shiftable appliance. Deadlines for load termination can also be expressed. In order to address these goals, the scheduling problem is formulated as a Markov decision process and then processed through a reinforcement learning technique. The approach is validated by the development of an agent-based real-world test case deployed in an edge context.},
keywords = {Edge computing, Energy Management Systems, internet of things, multi-agent systems, Reinforcement Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we propose an IoT edge-based energy management system devoted to minimizing the energy cost for the daily-use of in-home appliances. The proposed approach employs a load scheduling based on a load shifting technique, and it is designed to operate in an edge-computing environment naturally. The scheduling considers all together time-variable profiles for energy cost, energy production, and energy consumption for each shiftable appliance. Deadlines for load termination can also be expressed. In order to address these goals, the scheduling problem is formulated as a Markov decision process and then processed through a reinforcement learning technique. The approach is validated by the development of an agent-based real-world test case deployed in an edge context.
2019
Cicirelli, F.; Guerrieri, A.; Spezzano, G.; Vinci, A.
A Cognitive Enabled, Edge-Computing Architecture for Future Generation IoT Environments Proceedings Article
In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), IEEE, 2019, ISBN: 9781538649800.
Abstract | Links | BibTeX | Tag: Architectures, Cognitive Internet of Things, Edge computing, smart environments
@inproceedings{Cicirelli2019b,
title = {A Cognitive Enabled, Edge-Computing Architecture for Future Generation IoT Environments},
author = {F. Cicirelli and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1109/WF-IoT.2019.8767246},
isbn = {9781538649800},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {2019 IEEE 5th World Forum on Internet of Things (WF-IoT)},
journal = {IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings},
publisher = {IEEE},
abstract = {Nowadays, Smart Environments (SEs) are pervasively deployed in buildings (e.g., houses, schools, and offices) and outdoor environments with the goal of improving the quality of life of their inhabitants. SEs are usually designed and developed by using well-suited architectures and platforms having the aim of simplifying and making straightforward the SE implementation. Up to now, SEs are mostly reactive and, in some ways, proactive. Current research efforts are devoted to making such environments cognitive, i.e., able to automatically adapt and adhere to the possible changes in users' needs and behaviors. Anyway, in this field, the development of SEs is still in its infancy. In this direction, the paper proposes a novel Cognitive-enabled, Edge-based Internet of Things (CEIoT) architecture, purposely designed to develop cognitive IoT-based SEs. Such architecture wants to overcome some limitations arising during the usage of common SE platforms and architectures. CEIoT introduces some abstractions ranging from the "in-platform" implementation of decentralized cognitive algorithms to the realization of smart data aggregations.},
keywords = {Architectures, Cognitive Internet of Things, Edge computing, smart environments},
pubstate = {published},
tppubtype = {inproceedings}
}
Nowadays, Smart Environments (SEs) are pervasively deployed in buildings (e.g., houses, schools, and offices) and outdoor environments with the goal of improving the quality of life of their inhabitants. SEs are usually designed and developed by using well-suited architectures and platforms having the aim of simplifying and making straightforward the SE implementation. Up to now, SEs are mostly reactive and, in some ways, proactive. Current research efforts are devoted to making such environments cognitive, i.e., able to automatically adapt and adhere to the possible changes in users' needs and behaviors. Anyway, in this field, the development of SEs is still in its infancy. In this direction, the paper proposes a novel Cognitive-enabled, Edge-based Internet of Things (CEIoT) architecture, purposely designed to develop cognitive IoT-based SEs. Such architecture wants to overcome some limitations arising during the usage of common SE platforms and architectures. CEIoT introduces some abstractions ranging from the "in-platform" implementation of decentralized cognitive algorithms to the realization of smart data aggregations.
Briante, O.; Cicirelli, F.; Guerrieri, A.; Iera, A.; Mercuri, A.; Ruggeri, G.; Spezzano, G.; Vinci, A.
A social and pervasive IoT platform for developing smart environments Book Chapter
In: 2019, ISSN: 21991081.
Abstract | Links | BibTeX | Tag: Edge computing, IoT development platforms, IoT-based applications, Multi agent systems, smart environments, social internet of things
@inbook{Briante2019,
title = {A social and pervasive IoT platform for developing smart environments},
author = {O. Briante and F. Cicirelli and A. Guerrieri and A. Iera and A. Mercuri and G. Ruggeri and G. Spezzano and A. Vinci},
doi = {10.1007/978-3-319-96550-5_1},
issn = {21991081},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {Internet of Things},
abstract = {Nowadays, the increasing in the use of Internet of Things (IoT) devices is growing the realization of pervasive Smart Environments (SEs) and Smart Urban Ecosystems, where all the data gathered by the “Things” can be elaborated and used to improve the livability, the safety and the security of the environment, and to make inhabitants lives easier. Many efforts have been already done in the direction of SEs development and in the implementation of platforms specifically designed for SE realization. Anyway, such efforts miss of solutions regarding the interoperability among the realized SEs and other third-part “Things”. This chapter gives an overview of iSapiens, which is a Java-based platform specifically designed for the development and implementation of SEs. iSapiens tries to overcome the interoperability issue by leveraging the Social Internet of Things (SIoT) paradigm that allows to dynamically include in an SE the new “Things” that can appear in an environment without requiring interventions from humans. iSapiens provides tools for the realization of pervasive SEs and relies on the edge computing paradigm. Such paradigm is extremely important in a distributed system since it allows to use distributed storage and computation at the edge of a network, so reducing latencies with respect to move all the executions and storages in the cloud. Moreover, the chapter will review some SE applications realized by exploiting iSapiens concepts.},
keywords = {Edge computing, IoT development platforms, IoT-based applications, Multi agent systems, smart environments, social internet of things},
pubstate = {published},
tppubtype = {inbook}
}
Nowadays, the increasing in the use of Internet of Things (IoT) devices is growing the realization of pervasive Smart Environments (SEs) and Smart Urban Ecosystems, where all the data gathered by the “Things” can be elaborated and used to improve the livability, the safety and the security of the environment, and to make inhabitants lives easier. Many efforts have been already done in the direction of SEs development and in the implementation of platforms specifically designed for SE realization. Anyway, such efforts miss of solutions regarding the interoperability among the realized SEs and other third-part “Things”. This chapter gives an overview of iSapiens, which is a Java-based platform specifically designed for the development and implementation of SEs. iSapiens tries to overcome the interoperability issue by leveraging the Social Internet of Things (SIoT) paradigm that allows to dynamically include in an SE the new “Things” that can appear in an environment without requiring interventions from humans. iSapiens provides tools for the realization of pervasive SEs and relies on the edge computing paradigm. Such paradigm is extremely important in a distributed system since it allows to use distributed storage and computation at the edge of a network, so reducing latencies with respect to move all the executions and storages in the cloud. Moreover, the chapter will review some SE applications realized by exploiting iSapiens concepts.
2018
Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Mercuri, Alessandro; Spezzano, Giandomenico; Vinci, Andrea
A Metamodel Framework for Edge-Based Smart Environments Proceedings Article
In: 2018 IEEE International Conference on Cloud Engineering (IC2E), pp. 286-291, IEEE, 2018.
Abstract | Links | BibTeX | Tag: Computational modeling, Edge computing, internet of things, Metamodeling, modeling, Object oriented modeling, Sensors, smart environments, Smart Office, Timing, Unified modeling language
@inproceedings{8360343,
title = {A Metamodel Framework for Edge-Based Smart Environments},
author = {Franco Cicirelli and Giancarlo Fortino and Antonio Guerrieri and Alessandro Mercuri and Giandomenico Spezzano and Andrea Vinci},
url = {https://ieeexplore.ieee.org/document/8360343/},
doi = {10.1109/IC2E.2018.00067},
year = {2018},
date = {2018-04-01},
urldate = {2018-04-01},
booktitle = {2018 IEEE International Conference on Cloud Engineering (IC2E)},
pages = {286-291},
publisher = {IEEE},
abstract = {Smart Environments (SEs) are pervasive systems usually built on top of IoT-based sensing and actuation devices which are spread in an environment. The increase of the on-board computational capacity of the used devices opens to the possibility of naturally exploiting the edge computing paradigm in which the computation is pushed at the edge of the network. Anyway, despite the huge interest towards SEs, there is a lack of approaches for their design. This paper proposes an enhancement of the existing Smart Environment Metamodel (SEM) framework suited for designing SEs. The provided extension aims at taking into account issues related to edge computing, management of timing information and definition of the data types involved in data sources. The effectiveness of the whole proposal is assessed through a case study describing the development of a Smart Office.},
keywords = {Computational modeling, Edge computing, internet of things, Metamodeling, modeling, Object oriented modeling, Sensors, smart environments, Smart Office, Timing, Unified modeling language},
pubstate = {published},
tppubtype = {inproceedings}
}
Smart Environments (SEs) are pervasive systems usually built on top of IoT-based sensing and actuation devices which are spread in an environment. The increase of the on-board computational capacity of the used devices opens to the possibility of naturally exploiting the edge computing paradigm in which the computation is pushed at the edge of the network. Anyway, despite the huge interest towards SEs, there is a lack of approaches for their design. This paper proposes an enhancement of the existing Smart Environment Metamodel (SEM) framework suited for designing SEs. The provided extension aims at taking into account issues related to edge computing, management of timing information and definition of the data types involved in data sources. The effectiveness of the whole proposal is assessed through a case study describing the development of a Smart Office.
Cicirelli, F.; Fortino, G.; Guerrieri, A.; Spezzano, G.; Vinci, A.
A Scalable Agent-Based Smart Environment for Edge-Based Urban IoT Systems Proceedings Article
In: Interoperability, Safety and Security in IoT. InterIoT SaSeIoT 2017., Springer International Publishing, 2018, ISSN: 18678211.
Abstract | Links | BibTeX | Tag: Edge computing, Intelligent agents, IoT, smart environments, Urban computing
@inproceedings{Cicirelli2018,
title = {A Scalable Agent-Based Smart Environment for Edge-Based Urban IoT Systems},
author = {F. Cicirelli and G. Fortino and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1007/978-3-319-93797-7_7},
issn = {18678211},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
booktitle = {Interoperability, Safety and Security in IoT. InterIoT SaSeIoT 2017.},
journal = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},
volume = {242},
publisher = {Springer International Publishing},
series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
abstract = {New Internet of Things (IoT) applications are encouraging Smart City and Smart Environments initiatives all over the world, by leveraging big data and ubiquitous connectivity. This new technology enables systems to monitor, manage and control devices, and to create new knowledge and actionable information, by the real-time analysis of data streams. In order to develop applications in the depicted scenario, the adoption of new paradigms is required. This paper suggests combining the emergent concept of edge/fog computing with the agent metaphor, so as to enable designing systems based on the decentralization of control functions over distributed autonomous and cooperative entities, which run at the edge of the network. Moreover, we suggest the adoption of the iSapiens platform as a reference, as it was designed specifically for the mentioned purposes. Multi-agent applications running on top of iSapiens can create smart services using adaptive and decentralized algorithms which exploit the principles of cognitive IoT.},
keywords = {Edge computing, Intelligent agents, IoT, smart environments, Urban computing},
pubstate = {published},
tppubtype = {inproceedings}
}
New Internet of Things (IoT) applications are encouraging Smart City and Smart Environments initiatives all over the world, by leveraging big data and ubiquitous connectivity. This new technology enables systems to monitor, manage and control devices, and to create new knowledge and actionable information, by the real-time analysis of data streams. In order to develop applications in the depicted scenario, the adoption of new paradigms is required. This paper suggests combining the emergent concept of edge/fog computing with the agent metaphor, so as to enable designing systems based on the decentralization of control functions over distributed autonomous and cooperative entities, which run at the edge of the network. Moreover, we suggest the adoption of the iSapiens platform as a reference, as it was designed specifically for the mentioned purposes. Multi-agent applications running on top of iSapiens can create smart services using adaptive and decentralized algorithms which exploit the principles of cognitive IoT.
Cicirelli, F.; Guerrieri, A.; Mercuri, A.; Spezzano, G.; Vinci, A.
IoT-centric edge computing for context-aware smart environments Proceedings Article
In: 2018 IEEE International Congress on Internet of Things (ICIOT), IEEE, 2018, ISBN: 9781538672440.
Abstract | Links | BibTeX | Tag: Context awareness, Edge computing, internet of things, Methodological approaches, smart environments
@inproceedings{Cicirelli2018d,
title = {IoT-centric edge computing for context-aware smart environments},
author = {F. Cicirelli and A. Guerrieri and A. Mercuri and G. Spezzano and A. Vinci},
doi = {10.1109/ICIOT.2018.00031},
isbn = {9781538672440},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
booktitle = {2018 IEEE International Congress on Internet of Things (ICIOT)},
journal = {Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services},
publisher = {IEEE},
abstract = {The ever increasing diffusion of the Internet of Things is currently promoting the development of pervasive Smart Environments. The effectiveness of such systems is highly related to the capability of dealing with possible changes in users' habits, adapting the system to people needs and envisaging people behaviors. For this purposes, it becomes important to have methodological approaches and technologies favoring the development of cognitive systems aware of what is happening inside them. In this paper a methodological approach for the development of context-aware IoT-based Smart Environments is proposed. Such approach relies on a three-layered architecture offering some well suited abstractions taking also into account that computational resources in a system can be located either at the edge of the network or in the Cloud. A case study is proposed which concerns the development of a Smart Office devoted to forecast workers' presence and to adapt the office environmental conditions to them.},
keywords = {Context awareness, Edge computing, internet of things, Methodological approaches, smart environments},
pubstate = {published},
tppubtype = {inproceedings}
}
The ever increasing diffusion of the Internet of Things is currently promoting the development of pervasive Smart Environments. The effectiveness of such systems is highly related to the capability of dealing with possible changes in users' habits, adapting the system to people needs and envisaging people behaviors. For this purposes, it becomes important to have methodological approaches and technologies favoring the development of cognitive systems aware of what is happening inside them. In this paper a methodological approach for the development of context-aware IoT-based Smart Environments is proposed. Such approach relies on a three-layered architecture offering some well suited abstractions taking also into account that computational resources in a system can be located either at the edge of the network or in the Cloud. A case study is proposed which concerns the development of a Smart Office devoted to forecast workers' presence and to adapt the office environmental conditions to them.
2017
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea
An edge-based platform for dynamic smart city applications Journal Article
In: Future Generation Computer Systems, pp. -, 2017, ISSN: 0167-739X.
Abstract | Links | BibTeX | Tag: cyber physical systems, Edge computing, internet of things, multi-agent systems, res-novae, smart city, Urban computing
@article{Cicirelli2017,
title = {An edge-based platform for dynamic smart city applications},
author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci},
url = {http://www.sciencedirect.com/science/article/pii/S0167739X16308342},
doi = {10.1016/j.future.2017.05.034},
issn = {0167-739X},
year = {2017},
date = {2017-06-15},
urldate = {2017-06-15},
journal = {Future Generation Computer Systems},
pages = {-},
abstract = {Abstract A Smart City is a cyber-physical system improving urban behavior and capabilities by providing ICT-based functionalities. An infrastructure for Smart City has to be geographically and functionally extensible, as it requires both to grow up with the physical environment and to meet the increasing in needs and demands of city users/inhabitants. In this paper, we propose iSapiens, an IoT-based platform for the development of general cyber-physical systems suitable for the design and implementation of smart city services and applications. As distinguishing features, the iSapiens platform implements the edge computing paradigm through both the exploitation of the agent metaphor and a distributed network of computing nodes directly scattered in the urban environment. The platform promotes the dynamic deployment of new computing nodes as well as software agents for addressing geographical and functional extensibility. iSapiens provides a set of abstractions suitable to hide the heterogeneity of the physical sensing/actuator devices embedded in the system, and to support the development of complex applications. The paper also furnishes a set of methodological guidelines exploitable for the design and implementation of smart city applications by properly using iSapiens. As a significant case study, the design and implementation of a real Smart Street in the city of Cosenza (Italy) are shown, which provides decentralized urban intelligence services to citizens.},
keywords = {cyber physical systems, Edge computing, internet of things, multi-agent systems, res-novae, smart city, Urban computing},
pubstate = {published},
tppubtype = {article}
}
Abstract A Smart City is a cyber-physical system improving urban behavior and capabilities by providing ICT-based functionalities. An infrastructure for Smart City has to be geographically and functionally extensible, as it requires both to grow up with the physical environment and to meet the increasing in needs and demands of city users/inhabitants. In this paper, we propose iSapiens, an IoT-based platform for the development of general cyber-physical systems suitable for the design and implementation of smart city services and applications. As distinguishing features, the iSapiens platform implements the edge computing paradigm through both the exploitation of the agent metaphor and a distributed network of computing nodes directly scattered in the urban environment. The platform promotes the dynamic deployment of new computing nodes as well as software agents for addressing geographical and functional extensibility. iSapiens provides a set of abstractions suitable to hide the heterogeneity of the physical sensing/actuator devices embedded in the system, and to support the development of complex applications. The paper also furnishes a set of methodological guidelines exploitable for the design and implementation of smart city applications by properly using iSapiens. As a significant case study, the design and implementation of a real Smart Street in the city of Cosenza (Italy) are shown, which provides decentralized urban intelligence services to citizens.
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea; Briante, Orazio; Iera, Antonio; Ruggeri, Giuseppe
An edge-based approach to develop large-scale smart environments by leveraging SIoT Proceedings Article
In: Networking, Sensing and Control (ICNSC), 2017 IEEE 14th International Conference on, pp. 738–743, IEEE 2017, ISBN: 978-1-5090-4428-3.
Abstract | Links | BibTeX | Tag: Edge computing, internet of things, multi-agent systems, smart environments, social internet of things
@inproceedings{cicirelli2017edge,
title = {An edge-based approach to develop large-scale smart environments by leveraging SIoT},
author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci and Orazio Briante and Antonio Iera and Giuseppe Ruggeri},
url = {http://ieeexplore.ieee.org/document/8000182/},
doi = {10.1109/ICNSC.2017.8000182},
isbn = {978-1-5090-4428-3},
year = {2017},
date = {2017-01-01},
booktitle = {Networking, Sensing and Control (ICNSC), 2017 IEEE 14th International Conference on},
pages = {738–743},
organization = {IEEE},
abstract = {Abstract—Large-scale Smart Environments (LSEs) are open and dynamic systems where issues related to scalability and interoperability require to be carefully addressed. Moreover, as such systems typically extend on a wide area and include a huge number of interacting devices, aspects concerning services and objects discovery and reputation assessment require being managed. Despite the increasing interest in this topic, there is a lack of approaches for developing LSEs. This paper proposes an agent-based approach for the development of LSEs which leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a case study involving a Smart School District environment.},
keywords = {Edge computing, internet of things, multi-agent systems, smart environments, social internet of things},
pubstate = {published},
tppubtype = {inproceedings}
}
Abstract—Large-scale Smart Environments (LSEs) are open and dynamic systems where issues related to scalability and interoperability require to be carefully addressed. Moreover, as such systems typically extend on a wide area and include a huge number of interacting devices, aspects concerning services and objects discovery and reputation assessment require being managed. Despite the increasing interest in this topic, there is a lack of approaches for developing LSEs. This paper proposes an agent-based approach for the development of LSEs which leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a case study involving a Smart School District environment.
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea; Briante, Orazio; Iera, Antonio; Ruggeri, Giuseppe
Edge Computing and Social Internet of Things for large-scale smart environments development Journal Article
In: IEEE Internet of Things Journal, vol. PP, no 99, pp. 1-1, 2017, ISSN: 2327-4662.
Abstract | Links | BibTeX | Tag: domus, Edge computing, internet of things, multi-agent systems, smart city, smart environments
@article{iotj2017,
title = {Edge Computing and Social Internet of Things for large-scale smart environments development},
author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci and Orazio Briante and Antonio Iera and Giuseppe Ruggeri},
doi = {10.1109/JIOT.2017.2775739},
issn = {2327-4662},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {IEEE Internet of Things Journal},
volume = {PP},
number = {99},
pages = {1-1},
abstract = {Large-scale Smart Environments (LSEs) are open and dynamic systems typically extending over a wide area and including a huge number of interacting devices with a heterogeneous nature. Thus, during their deployment scalability and interoperability are key requirements to be definitely taken into account. To these, discovery and reputation assessment of services and objects have to be added, given that new devices and functionalities continuously join LSEs. In spite of the increasing interest in this topic, effective approaches to develop LSEs are still missing. This paper proposes an agent-based approach that leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a sample case study involving a commercial road environment.},
keywords = {domus, Edge computing, internet of things, multi-agent systems, smart city, smart environments},
pubstate = {published},
tppubtype = {article}
}
Large-scale Smart Environments (LSEs) are open and dynamic systems typically extending over a wide area and including a huge number of interacting devices with a heterogeneous nature. Thus, during their deployment scalability and interoperability are key requirements to be definitely taken into account. To these, discovery and reputation assessment of services and objects have to be added, given that new devices and functionalities continuously join LSEs. In spite of the increasing interest in this topic, effective approaches to develop LSEs are still missing. This paper proposes an agent-based approach that leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a sample case study involving a commercial road environment.
Cicirelli, F.; Guerrieri, A.; Spezzano, G.; Vinci, A.; Briante, O.; Ruggeri, G.
ISapiens: A platform for social and pervasive smart environments Proceedings Article
In: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), IEEE, 2017, ISBN: 9781509041305.
Abstract | Links | BibTeX | Tag: Agent Computing, Edge computing, smart environments, social internet of things
@inproceedings{Cicirelli2017c,
title = {ISapiens: A platform for social and pervasive smart environments},
author = {F. Cicirelli and A. Guerrieri and G. Spezzano and A. Vinci and O. Briante and G. Ruggeri},
doi = {10.1109/WF-IoT.2016.7845502},
isbn = {9781509041305},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
booktitle = {2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)},
journal = {2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016},
publisher = {IEEE},
abstract = {The advent of Internet of Things (IoT) has fueled the implementation of Smart Environments (SEs) where the information made available by the 'Things' is processed and utilized to increase the livability, the safety and the security of the environment, and to make easier the life of its inhabitants. In literature there are many attempts to create specific SEs or platform for the SEs realization. Although effective, these solutions lack of interoperability with other third-part 'Things'. In this paper we propose iSapiens, a Java-based platform for the design and the implementation of SEs. iSapiens deals with the above mentioned limitation by leveraging the Social Internet of Things (SIoT) paradigm to dynamically include in a SE newly available 'Things' without requiring any human intervention. iSapiens allows the creation of pervasive smart environments by exploiting the edge computing paradigm, that makes locally available distributed storage and computational resources without introducing latency and causing bandwidth shortage.},
keywords = {Agent Computing, Edge computing, smart environments, social internet of things},
pubstate = {published},
tppubtype = {inproceedings}
}
The advent of Internet of Things (IoT) has fueled the implementation of Smart Environments (SEs) where the information made available by the 'Things' is processed and utilized to increase the livability, the safety and the security of the environment, and to make easier the life of its inhabitants. In literature there are many attempts to create specific SEs or platform for the SEs realization. Although effective, these solutions lack of interoperability with other third-part 'Things'. In this paper we propose iSapiens, a Java-based platform for the design and the implementation of SEs. iSapiens deals with the above mentioned limitation by leveraging the Social Internet of Things (SIoT) paradigm to dynamically include in a SE newly available 'Things' without requiring any human intervention. iSapiens allows the creation of pervasive smart environments by exploiting the edge computing paradigm, that makes locally available distributed storage and computational resources without introducing latency and causing bandwidth shortage.
Cicirelli, F.; Fortino, G.; Guerrieri, A.; Spezzano, G.; Vinci, A.
Edge enabled development of Smart Cyber-Physical Environments Proceedings Article
In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2017, ISBN: 9781509018970.
Abstract | Links | BibTeX | Tag: Agent Computing, Cyber-Physical Systems, Edge computing, internet of things, smart environments, Smart Office
@inproceedings{Cicirelli2017d,
title = {Edge enabled development of Smart Cyber-Physical Environments},
author = {F. Cicirelli and G. Fortino and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1109/SMC.2016.7844769},
isbn = {9781509018970},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
booktitle = {2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
journal = {2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings},
publisher = {IEEE},
abstract = {Smart Cyber-Physical Environments are augmented physical environments whose behaviours are enhanced through the use of ICT technologies. The goal is to offer new services and functionalities devoted to meet people's needs and preferences, and to better exploit existing services and infrastructures. The use of IoT technologies, paired with the edge computing, fosters the development of Smart Environment applications having the important features of reliability, scalability and extensibility. This paper proposes an approach for the design and the implementation of Smart Cyber Physical Environment applications having the aforementioned features. The approach relies on the use of isapiens which is an IoT platform enabling edge computing through the exploitation of the agent metaphor. Such platform provides effective abstractions which are able to hide heterogeneity of both the adopted hardware devices and communication protocols. The approach is validated through a case study involving the realization of a Smart Office prototype for profiling and monitoring daily working activities and performing actuations in the environment on the basis of the obtained information.},
keywords = {Agent Computing, Cyber-Physical Systems, Edge computing, internet of things, smart environments, Smart Office},
pubstate = {published},
tppubtype = {inproceedings}
}
Smart Cyber-Physical Environments are augmented physical environments whose behaviours are enhanced through the use of ICT technologies. The goal is to offer new services and functionalities devoted to meet people's needs and preferences, and to better exploit existing services and infrastructures. The use of IoT technologies, paired with the edge computing, fosters the development of Smart Environment applications having the important features of reliability, scalability and extensibility. This paper proposes an approach for the design and the implementation of Smart Cyber Physical Environment applications having the aforementioned features. The approach relies on the use of isapiens which is an IoT platform enabling edge computing through the exploitation of the agent metaphor. Such platform provides effective abstractions which are able to hide heterogeneity of both the adopted hardware devices and communication protocols. The approach is validated through a case study involving the realization of a Smart Office prototype for profiling and monitoring daily working activities and performing actuations in the environment on the basis of the obtained information.