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Resource Efficient Clustering and Next Hop Knowledge Based Routing in Multiple Heterogeneous Wireless Sensor Networks

Resource Efficient Clustering and Next Hop Knowledge Based Routing in Multiple Heterogeneous Wireless Sensor Networks

Sunil Kumar, Priya Ranjan, Radhakrishnan Ramaswami, Malay Ranjan Tripathy
Copyright: © 2017 |Volume: 9 |Issue: 2 |Pages: 20
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781522512042|DOI: 10.4018/IJGHPC.2017040101
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MLA

Kumar, Sunil, et al. "Resource Efficient Clustering and Next Hop Knowledge Based Routing in Multiple Heterogeneous Wireless Sensor Networks." IJGHPC vol.9, no.2 2017: pp.1-20. http://doi.org/10.4018/IJGHPC.2017040101

APA

Kumar, S., Ranjan, P., Ramaswami, R., & Tripathy, M. R. (2017). Resource Efficient Clustering and Next Hop Knowledge Based Routing in Multiple Heterogeneous Wireless Sensor Networks. International Journal of Grid and High Performance Computing (IJGHPC), 9(2), 1-20. http://doi.org/10.4018/IJGHPC.2017040101

Chicago

Kumar, Sunil, et al. "Resource Efficient Clustering and Next Hop Knowledge Based Routing in Multiple Heterogeneous Wireless Sensor Networks," International Journal of Grid and High Performance Computing (IJGHPC) 9, no.2: 1-20. http://doi.org/10.4018/IJGHPC.2017040101

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Abstract

Wireless sensor networks are useful in various industrial, commercial, Internet of Things (IoT), Internet of Everything (IoE) and many important tracking purpose applications. Energy is a limited and not replaceable. Hence it is the most focused research area in the field of wireless sensor networks. In this paper, Cluster Based Energy Resource Efficient & Next Hop Knowledge based Routing Protocol (CBERERP) is proposed for multiple heterogeneous wireless sensor networks. For any routing protocol, energy resources generally depend on number of message exchanges, transmission of data and control packets among the various sensor nodes to reach an agreement. CBERERP uses distributed concept for selection of cluster head among of heterogeneous nodes and intelligent cluster formation to minimize the energy consumption. Further, the proposed protocol reduces energy using a routing technique which minimizes the hop distance, the number of transmission of data and the number of control packets.

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