Energy Efficiency Optimization in Wireless Sensor Network Using Modified DRINA

Author Name(s): Priya Ujawe, Simran Khiani, Dr. C.G. Dethe
Author Email: priya.ujawe@gmail.com

Abstract

Energy efficiency is an important parameter in wireless sensor network. To optimize the energy efficiency in wireless sensor network different methods are available. We have been proposed a new approach to reduce the energy in clustering nodes using data aggregation technique. The proposed Cluster-based modified data aggregation routing in-network algorithm (M-DRINA) is implemented for energy saving in wireless sensor network. M-DRINA periodically changes the cluster head and it select node with highest energy as a cluster head. It also helps to extend the lifetime of sensor networks and avoid the failures of wireless sensor network.

Introduction

A Wireless Sensor Network (WSN) is an electronic device that sense natural or physical conditions, for example, weight, movement, temperature, sound, vibration, or poisons at distinctive areas. WSN have many applications, for example, homeland security, environmental monitoring, communications, and manufacturing. Sensor node is device that is energy consumed and large connected with the measure of accumulated information, since correspondence is frequently the most costly action as far as energy. Many algorithm and protocols are design to reduce the energy in WSN. In addition, WSNs are information driven systems that for the most part deliver a lot of data that should be directed, regularly in a multihop fashion, toward a sink hub, which functions as gateway to an observing center (Fig. 1). Towards this situation, routing play important role in the information gathering process[6]

Conclusion

The proposed Cluster-based modified data aggregation routing in-network algorithm (DRINA) is implemented for energy saving in wireless sensor network. As compared to existing DRINA proposed MDRINA optimize 20-30% energy.

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