Hybrid Communication for Energy Efficient Data Aggregation in Wireless Sensor Networks

Abstract

Energy-efficient data aggregation is a critical issue in wireless sensor networks (WSNs) given that sensor nodes are battery-powered and deployed in remote environments. This work explores the reduction in total energy consumption of WSNs using two-hop data aggregation by constructing an energy-efficient data aggregation tree. An adaptive and hybrid routing algorithm for simultaneous data aggregation and exploitation of the data correlation between nodes using a binary search tree framework is proposed. Routes are chosen to minimise the total energy expended by the network based on the shortest response time to the broadcasting request. In this work, a highly secure asymmetric key cryptography algorithm is developed to provide secure data aggregation among the network. The proposed data aggregation approach is used to resolve the relevant energy, delay, collision and security issues. Simulation results show that data aggregation based on the hybrid tree can appreciably reduce the total energy consumption and resolve maximum data aggregation issues in WSNs.