Preprint Article Version 1 This version not peer reviewed

Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN

Version 1 : Received: 12 October 2017 / Approved: 13 October 2017 / Online: 13 October 2017 (04:06:16 CEST)
Version 2 : Received: 23 October 2017 / Approved: 23 October 2017 / Online: 23 October 2017 (08:06:47 CEST)

How to cite: Purkar, S.; Deshpande, R.S. Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN. Preprints 2017, 2017100086 (doi: 10.20944/preprints201710.0086.v1). Purkar, S.; Deshpande, R.S. Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN. Preprints 2017, 2017100086 (doi: 10.20944/preprints201710.0086.v1).

Abstract

As Heterogeneous Wireless Sensor Network (HWSN) fulfill the requirements of researchers in the design of real life application to resolve the issues of unattended problem. But, the main constraint face by researchers is energy source available with sensor nodes. To prolong the life of sensor nodes and hence HWSN, it is necessary to design energy efficient operational schemes. One of the most suitable routing scheme is clustering approach, which improves stability and hence enhances performance parameters of HWSN. A novel solution proposed in this article is to design energy efficient clustering protocol for HWSN, to enhance performance parameters by EECPEP-HWSN. Propose protocol is designed with three level nodes namely normal, advance and super node respectively. In clustering process, for selection of cluster head we consider three parameters available with sensor node at run time i.e. initial energy, hop count and residual energy. This protocol enhance the energy efficiency of HWSN, it improves performance parameters in the form of enhance energy remain in the network, force to enhance stability period, prolong lifetime and hence higher throughput. It is been found that proposed protocol outperforms than LEACH, DEEC and SEP with about 188, 150 and 141 percent respectively.

Subject Areas

cluster head; dead node; random; vicinity; modulation; index; survival; overhead

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