In:
Asian Journal of Research in Computer Science, Sciencedomain International, ( 2022-10-20), p. 46-65
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.
Type of Medium:
Online Resource
ISSN:
2581-8260
DOI:
10.9734/ajrcos/2022/v14i4291
Language:
Unknown
Publisher:
Sciencedomain International
Publication Date:
2022
