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.
Edge Computing and Social Internet of Things for large-scale smart environments development / Cicirelli, F; Guerrieri, A; G Spezzano, G; Vinci, A; Briante, O; Iera, A; Ruggeri, Giuseppe. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 5:4(2017), pp. 2557-2571. [10.1109/JIOT.2017.2775739]
Edge Computing and Social Internet of Things for large-scale smart environments development
Iera A;RUGGERI, Giuseppe
2017-01-01
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.File | Dimensione | Formato | |
---|---|---|---|
Cicirelli_2017_IoTJ_Edge_Editorial.pdf
non disponibili
Descrizione: Editoriale
Tipologia:
Versione Editoriale (PDF)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
2.63 MB
Formato
Adobe PDF
|
2.63 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Cicirelli_2017_IoTJ_Edge_Postprint.pdf
accesso aperto
Descrizione: Postprint
Tipologia:
Documento in Post-print
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
584.48 kB
Formato
Adobe PDF
|
584.48 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.