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Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks

Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks

Vinay Rishiwal, Preeti Yadav, Omkar Singh, B. G. Prasad
Copyright: © 2021 |Volume: 10 |Issue: 4 |Pages: 20
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781799858997|DOI: 10.4018/IJSDA.20211001.oa21
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MLA

Rishiwal, Vinay, et al. "Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks." IJSDA vol.10, no.4 2021: pp.1-20. http://doi.org/10.4018/IJSDA.20211001.oa21

APA

Rishiwal, V., Yadav, P., Singh, O., & Prasad, B. G. (2021). Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks. International Journal of System Dynamics Applications (IJSDA), 10(4), 1-20. http://doi.org/10.4018/IJSDA.20211001.oa21

Chicago

Rishiwal, Vinay, et al. "Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks," International Journal of System Dynamics Applications (IJSDA) 10, no.4: 1-20. http://doi.org/10.4018/IJSDA.20211001.oa21

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Abstract

In recent era of IoT, energy ingesting by sensor nodes in Wireless Sensor Networks (WSN) is one of the key challenges. It is decisive to diminish energy ingesting due to restricted battery lifespan of sensor nodes, Objective of this research is to develop efficient routing protocol/algorithm in IoT based scenario to enhance network performance with QoS parameters. Therefore, keeping this objective in mind, a QoS based Optimized Energy Clustering Routing (QOECR) protocol for IoT based WSN is proposed and evaluated. QOECR discovers optimal path for sink node and provides better selection for sub-sink nodes. Simulation has been done in MATLAB to assess the performance of QOECR with pre-existing routing protocols. Simulation outcomes represent that QOECR reduces E2E delay 30%-35%, enhances throughput 25%-30%, minimizes energy consumption 35%-40%, minimizes packet loss 28%-32%, improves PDR and prolongs network lifetime 32%-38% than CBCCP, HCSM and ZEAL routing protocols.