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Heuristic Based Coverage Aware Load Balanced Clustering in WSNs and Enablement of IoT

Heuristic Based Coverage Aware Load Balanced Clustering in WSNs and Enablement of IoT

Surjit Singh, Rajeev Mohan Sharma
Copyright: © 2018 |Volume: 13 |Issue: 2 |Pages: 10
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781522542957|DOI: 10.4018/IJITWE.2018040101
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MLA

Singh, Surjit, and Rajeev Mohan Sharma. "Heuristic Based Coverage Aware Load Balanced Clustering in WSNs and Enablement of IoT." IJITWE vol.13, no.2 2018: pp.1-10. https://doi.org/10.4018/IJITWE.2018040101

APA

Singh, S. & Sharma, R. M. (2018). Heuristic Based Coverage Aware Load Balanced Clustering in WSNs and Enablement of IoT. International Journal of Information Technology and Web Engineering (IJITWE), 13(2), 1-10. https://doi.org/10.4018/IJITWE.2018040101

Chicago

Singh, Surjit, and Rajeev Mohan Sharma. "Heuristic Based Coverage Aware Load Balanced Clustering in WSNs and Enablement of IoT," International Journal of Information Technology and Web Engineering (IJITWE) 13, no.2: 1-10. https://doi.org/10.4018/IJITWE.2018040101

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Abstract

Integration of heterogeneous communication systems is the major objective of Future Internet. Heterogeneous systems such as wired and wireless assert the concept of Internet of Things (IoT). Communication standard protocols based global network of identical addressable interconnected resources conferred to IoT. In this article, it is described how wireless sensor networks (WSN) are one of the keys enabling the IoT. Clustering in WSNs plays an important role since it allows altering the network topology and helps in balancing of traffic loads. Load balancing improves the lifespan and scalability of the WSNs. Here, a heuristic approach, coverage aware load balanced clustering, has been developed in order to increase the lifespan of the WSNs. Moreover, simulation results are demonstrated for a sample network and the results show that the network lifespan has increased and simultaneously energy consumption is reduced compared to the other existing techniques.

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