Evaluation of the Effects of Mobile Smart Object to Boost IoT Network Synchronization

This paper deals with the synchronization of Mobile Smart Objects (MSOs). Today, this scenario is becoming typical in Industrial IoT applications due to the plethora of MSOs available as robots, drones and wearables, equipped by sensors making them measurement instruments cooperating in distributed...

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Main Authors: Francesco Lamonaca, Domenico Luca Carnì
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/12/3957
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spelling doaj-58bb6b64418944a18330e2775145ac9f2021-06-30T23:38:32ZengMDPI AGSensors1424-82202021-06-01213957395710.3390/s21123957Evaluation of the Effects of Mobile Smart Object to Boost IoT Network SynchronizationFrancesco Lamonaca0Domenico Luca Carnì1Department of Informatics, Modelling, Electronics and Systems Science, University of Calabria, 87036 Arcavacata, ItalyDepartment of Informatics, Modelling, Electronics and Systems Science, University of Calabria, 87036 Arcavacata, ItalyThis paper deals with the synchronization of Mobile Smart Objects (MSOs). Today, this scenario is becoming typical in Industrial IoT applications due to the plethora of MSOs available as robots, drones and wearables, equipped by sensors making them measurement instruments cooperating in distributed measurement systems. In this context, the synchronization accuracy is directly tied with the accuracy of the performed measurements. In hierarchical synchronization approaches, the presence of an MSO makes the network topology time varying, and this could prevent the synchronization of the whole network. Peer to peer approaches do not need node hierarchy to synchronize but could not converge to a common sense of time. To overcome these challenges, this paper proposes a consensus-based approach for which the convergence to a common sense of time is here demonstrated. The proposal deploys the MSO to bring the common sense of time from an SO to another, establishing new paths among SOs. The new paths are temporary and depend on the MSO’s route. In the paper, the influence of the MSO’s route on the synchronization accuracy <i>σ</i> and the time interval to synchronize all the SOs ∆<i><sub>TIS</sub></i> is investigated, also. The mathematical proof, the simulations and the experimental tests confirm that the MSO can reduce both the values of <i>σ</i> and ∆<i><sub>TIS</sub></i>, because the new connections introduced by the MSO can boost the exchange of information among SOs. Consequently, the criteria to a priori select the route ameliorating <i>σ</i> and ∆<i><sub>TIS</sub></i> values are proposed.https://www.mdpi.com/1424-8220/21/12/3957synchronizationconsensusmobile objectIoT network synchronizationIoT network topology
collection DOAJ
language English
format Article
sources DOAJ
author Francesco Lamonaca
Domenico Luca Carnì
spellingShingle Francesco Lamonaca
Domenico Luca Carnì
Evaluation of the Effects of Mobile Smart Object to Boost IoT Network Synchronization
Sensors
synchronization
consensus
mobile object
IoT network synchronization
IoT network topology
author_facet Francesco Lamonaca
Domenico Luca Carnì
author_sort Francesco Lamonaca
title Evaluation of the Effects of Mobile Smart Object to Boost IoT Network Synchronization
title_short Evaluation of the Effects of Mobile Smart Object to Boost IoT Network Synchronization
title_full Evaluation of the Effects of Mobile Smart Object to Boost IoT Network Synchronization
title_fullStr Evaluation of the Effects of Mobile Smart Object to Boost IoT Network Synchronization
title_full_unstemmed Evaluation of the Effects of Mobile Smart Object to Boost IoT Network Synchronization
title_sort evaluation of the effects of mobile smart object to boost iot network synchronization
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-06-01
description This paper deals with the synchronization of Mobile Smart Objects (MSOs). Today, this scenario is becoming typical in Industrial IoT applications due to the plethora of MSOs available as robots, drones and wearables, equipped by sensors making them measurement instruments cooperating in distributed measurement systems. In this context, the synchronization accuracy is directly tied with the accuracy of the performed measurements. In hierarchical synchronization approaches, the presence of an MSO makes the network topology time varying, and this could prevent the synchronization of the whole network. Peer to peer approaches do not need node hierarchy to synchronize but could not converge to a common sense of time. To overcome these challenges, this paper proposes a consensus-based approach for which the convergence to a common sense of time is here demonstrated. The proposal deploys the MSO to bring the common sense of time from an SO to another, establishing new paths among SOs. The new paths are temporary and depend on the MSO’s route. In the paper, the influence of the MSO’s route on the synchronization accuracy <i>σ</i> and the time interval to synchronize all the SOs ∆<i><sub>TIS</sub></i> is investigated, also. The mathematical proof, the simulations and the experimental tests confirm that the MSO can reduce both the values of <i>σ</i> and ∆<i><sub>TIS</sub></i>, because the new connections introduced by the MSO can boost the exchange of information among SOs. Consequently, the criteria to a priori select the route ameliorating <i>σ</i> and ∆<i><sub>TIS</sub></i> values are proposed.
topic synchronization
consensus
mobile object
IoT network synchronization
IoT network topology
url https://www.mdpi.com/1424-8220/21/12/3957
work_keys_str_mv AT francescolamonaca evaluationoftheeffectsofmobilesmartobjecttoboostiotnetworksynchronization
AT domenicolucacarni evaluationoftheeffectsofmobilesmartobjecttoboostiotnetworksynchronization
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