Abstract

Abstract- The lifetime of Randomly Distributed wireless sensor networks gets effected do to the imbalanced energy consumption in sensor nodes. In order to balance the energy consumption among sensor nodes an energy efficient clustering algorithm is proposed in this paper. EECS is divided into two cluster setup phase and steady state phase. The cluster head is selected by new cluster election algorithm which uses local information of sensor nodes. The allocation of time slots for member nodes is done as per data available in sensor nodes in steady state phase. The simulation results of EECS algorithm is better than EADC and SA-EADC algorithm in terms of network lifetime and energy consumption.

Highlights

  • Wireless sensor networks [1] (WSN) are the combination of small sensing self-powered sensors that are capable of operating in harsh conditions

  • The time slots are allotted to membership nodes usingTDMA[6] scheduling, and the cluster heads broadcast the TDMA schedule packets which contain node slot number and membership

  • One clustering based routing protocol for WSN suggested by Yu.et al [8] which is based on energy-aware clustering algorithm which supports non-uniform node distribution

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Summary

INTRODUCTION

Wireless sensor networks [1] (WSN) are the combination of small sensing self-powered sensors that are capable of operating in harsh conditions. The clustering protocol should be designed in such a way that the consumption of energy should be reduced or minimized and the data communication reliability should be maintained. The network lifetime is increased by distributing uniformly the cluster heads, which in turn balances the energy consumption among the nodes. The time slots are allotted to membership nodes usingTDMA[6] scheduling, and the cluster heads broadcast the TDMA schedule packets which contain node slot number and membership. If a node is not allotted a time slot, the node goes into sleep mode in current session and wats for session to request cluster head for allocating a time slot to transmit data. Prediction-based energy Efficient Distributed Clustering for WSNthat supports non-uniform node distribution scheduling algorithm is proposed.

RELATED WORK
NETWORK MODEL
EECS ALGORITHM
Competition phase in the cluster head
Activation and Redundancy Check Phase
Cluster Phase Formation
Steady State Phase
RESULTS AND DISCUSSION
Energy Consumption
Network lifetime

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