Residue Number System-Based Approach to Minimise Energy Consumption in Wireless Sensor Networks
Yakubu Abdul-Wahab Nawusu *
Department of Computer Science, Tamale Technical University, Tamale, Ghana.
Alhassan Abdul-Barik
Department of Computer Science, University for Development Studies, Tamale, Ghana.
Salifu Abdul-Mumin
Department of Information Systems and Technology, C.K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.
*Author to whom correspondence should be addressed.
Abstract
This study harnesses the useful number properties of the residue number system (RNS) to minimise energy consumption in a wireless sensor network. In a traditional cluster-based wireless sensor network, large bit representations of aggregated packets are transmitted to the base station. However, large bit patterns of packets are slower compared to smaller bits. The proposed approach splits aggregated data into a pre-specified number of transmission channels using a moduli set. Cheap energy cost routes from the cluster heads are computed to deliver the chunked aggregated data to the base station. Forward and reverse converters are proposed to encode data into RNS and decode the RNS data that reaches the base station. MATLAB simulation is used to implement the proposed data splitting method and to evaluate network performance. The experimental results suggest that the proposed method is more effective at minimising transmission energy when compared with traditional approaches in which complete packets are transmitted.
Keywords: Wireless sensor network, residue number system, clustering, transmission energy