Energy consumption text and image data compression in WSNs

Abstract

Wireless sensor networks (WSNs) consume energy for their sensing, computation, and communication. To extend the lifetime of the network, sensor nodes are equipped with energy storage devices. Recharging of their batteries is impossible in most applications. Therefore, energy consumption needs to be monitored and limited to extend the high performance operation of the network. In this network, the communication module consumes the highest amount of energy. This paper demonstrates that among several methods offered to reduce the energy consumption, data compression has the highest effect on the energy usage by reducing the number of bits to be broadcasted. To determine the energy efficiency of the communication module, the energy consumption of broadcasting data as text and image in original and compressed forms were measured. Black and white JPEG images and Adaptive Huffman text for both Mesh and random nodes consumed less energy. © 2013 Springer Science+Business Media.