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Peer-Reviewed Article May 18, 2018

Hybrid energy aware clustered protocol for IoT heterogeneous network

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Published in: Future Computing and Informatics Journal
Publisher: Elsevier BV • Egypt • 2314-7288
DOI: https://doi.org/10.1016/j.fcij.2018.02.003

Abstract

IoT diverse applications face many challenges. The main challenge is to have efficient energy aware communication protocols that utilize the diversity and heterogeneity of the connected things through Internet. Saving energy is a vital requirement in the limited battery energy nodes and also for the outsourced energy nodes for green computing. IoT milieu has many diverse devices that are heterogeneous in their energies, their Internet availability, etc. These devices are usually distributed into regions with different heterogeneity levels; ranging from homogeneous to near homogenous, till reaching to the high heterogeneous regions. Many existed protocols efficiently treated either the homogenous devices or heterogeneous devices. This paper defeats the gap between the physical wireless sensor network environment and the real heterogeneous Cyber IoT milieu. This paper targets not only providing an efficient hybrid energy aware clustering communication protocol for green IoT network computing; Hy-IoT, but also provides a real IoT network architecture for examining the proposed protocol compared to commonly existed protocols. Efficient cluster-head selection boosts the utilization of the nodes energy contents and consequently increases the network life time as well as the packets transmission rate to the base station. Hy-IoT uses different weighted election probabilities for selecting a Cluster-head based on heterogeneity level of the region. Simulation shows that Hy-IoT prolongs the network life time and increases the throughput compared to the SEP, LEACH and Z-SEP. Hy-IoT provides prolonging for the network life time ranging from 47.8% to 92.5% based on the heterogeneity level and also the average throughput was boosted ranging from 11.5% to 70.1% based on the heterogeneity level.

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