Internet-of-things (IoT) paradigm exploits the Distributed Measurement System (DMS) to execute measurements. Each node of the DMS has computational and communicative capabilities, and can be equipped by sensors and measurement instruments. Therefore, it can be assumed as Smart Object (SO). The availability of mobile SO (MSO) (cars, smartphones, drones) is taken into consideration in the research to investigate about its effect on the synchronization task of the DMS. The changing topology of the network makes difficult the application of traditional synchronization techniques based on a hierarchical approach. The consensus technique is experimented in the case of a MSO moving in a wireless network. Numerical tests assess the influence of the speed of the MSO on the synchronization accuracy and the time interval required to synchronize all the SOs.
Mobile object to speed up the synchronization of IoT network
Lamonaca, F.
;Carni, D. L.;Grimaldi, D.Membro del Collaboration Group
;Sciammarella, P. F.
2017-01-01
Abstract
Internet-of-things (IoT) paradigm exploits the Distributed Measurement System (DMS) to execute measurements. Each node of the DMS has computational and communicative capabilities, and can be equipped by sensors and measurement instruments. Therefore, it can be assumed as Smart Object (SO). The availability of mobile SO (MSO) (cars, smartphones, drones) is taken into consideration in the research to investigate about its effect on the synchronization task of the DMS. The changing topology of the network makes difficult the application of traditional synchronization techniques based on a hierarchical approach. The consensus technique is experimented in the case of a MSO moving in a wireless network. Numerical tests assess the influence of the speed of the MSO on the synchronization accuracy and the time interval required to synchronize all the SOs.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
