A Sensor Data Stream Collection Scheme Considering Phase Differences for Load Balancing

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Author(s): Tomoya Kawakami (Graduate School of Engineering, University of Fukui, Japan), Tomoki Yoshihisa (Cybermedia Center, Osaka University, Japan)and Yuuichi Teranishi (National Institute of Information and Communications Technology, Japan)
Copyright: 2021
Volume: 12
Issue: 2
Pages: 15
Source title: International Journal of Mobile Computing and Multimedia Communications (IJMCMC)
Editor(s)-in-Chief: Agustinus Waluyo (Monash University, Australia)
DOI: 10.4018/IJMCMC.20210401.oa1

Keywords: Information Science Reference / Media & Communications / Mobile and Wireless Computing / Mobile Computing

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Abstract

In the internet of things (IoT), various devices (things) including sensors generate data and publish them via the internet. The authors define continuous sensor data with difference cycles as a sensor data stream and have proposed methods to collect distributed sensor data streams. In this paper, the authors describe a skip graph-based collection scheme for sensor data streams considering phase differences. In the proposed scheme considering phase differences, the collection time is balanced within each collection cycle by the phase differences, and the probability of load concentration to the specific time or node is decreased. The simulation results show that the proposed scheme can equalize the loads of nodes even if the distribution of collection cycles is not uniform.

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A Sensor Data Stream Collection Scheme Considering Phase Differences for Load Balancing

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