SOECS: Scheduling based Optimal Energy Clustering Scheme for WSN

Abstract

Balancing the energy consumption and location accuracy is one of the critical tasks in WSN. Energy consumption of sensor nodes is measured in terms of route discovery, packet forwarding and data transmission. In this research work, it is proposed that scheduling based Optimal Energy Clustering Scheme (SOECS) to attain the maximum location accuracy and energy efficiency during route maintenance. It consists of three phases. In first phase, the node deployment is done using Gaussian distribution function to route the packets effectively. In second phase, Cluster heads are chosen and energy is estimated for optimal cluster heads. In third phase, TDMA scheduling algorithm is introduced to improve the energy efficiency using stable routes and scheduling table. The work is evaluated using network simulation tool. The proposed scheme produces high performance than existing schemes.