Feasibility and Efficacy of Modified Adaptive Rice Golomb Coding for Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs), characterized by energy-constrained nodes powered by limited-capacity batteries, necessitate energy-efficient data compression techniques to extend their network lifetime. The communication module within each sensor node emerges as a primary energy consumer, making data compression a pivotal approach to curtail data transmission. This paper introduces the Modified Adaptive Rice Golomb Coding (MARGC) algorithm as an effective compression technique to enhance the network's lifespan. Simulation results, utilizing diverse datasets, underscore the feasibility and efficacy of the MARGC algorithm. Furthermore, the algorithm's real-time implementation on National Instruments Wireless Sensor Network (NI WSN) hardware demonstrates its practical applicability and performance. To benchmark our contribution, future work will involve a comparative analysis with existing techniques to highlight the superior aspects of the proposed MARGC algorithm.