Residue Number System-Based Approach to Minimise Energy Consumption in Wireless Sensor Networks
Yakubu Abdul-Wahab Nawusu, Alhassan Abdul-Barik, Salifu Abdul-Mumin
Asian Journal of Research in Computer Science · pp. 46–65 · Published 20 Oct 2022
10.9734/ajrcos/2022/v14i4291Abstract
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.
Cited by 4
Nedasadat Taheri, Sepehr Tabrizchi, Deniz Najafi · 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) · 2024
Yakubu Abdul-Wahab Nawusu, Abukari Abdul Aziz Danaa, Kubuga Kennedy · Earthline Journal of Mathematical Sciences · 2024
Prince Modey, Emmanuel Freeman, Stanley Opoku-Yeboah · 2024 Conference on Information Communications Technology and Society (ICTAS) · 2024
Showing 3 of 4 known citations — external sources report more than can currently be individually listed.
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