Load balancing Technique toward Congestion minimization in WSN-enabled-Healthcare (original) (raw)

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)

Abstract

Nowadays, WSN is effectively using in healthcare application by means of body area network, which is senor-based wearable devices mainly utilized in health care prevention and monitoring applications. Limited resources make the WSN easily suffer from the problem of congestion, which degrade the performance of the network and hence reduced the reliability, which is most important requirement for WSN enabled healthcare. The objective of this paper is to design a routing protocol which can minimize communication delay and gain higher throughput with optimum network overhead. Proposed work present Load balancing technique toward Congestion minimization in WSN-enabled-Healthcare named LC-AOMDV mechanism. This mechanism utilizes calculation and regulation of queue length of intermediate nodes and reduced the data sending rate dynamically to avoid the congestion from the network. The proposed mechanism uses multi-hop multi-path routing and integrated into existing normal AOMDV routing protocol for efficient communications and more reliable health data delivery. The proposed work is simulated into Network Simulator 2.31 and results obtained are compared with results of existing routing technique. The results are analyzed by means of performance metrics like data/packet drops, PDR, routing overhead, throughput. Analysis shows that PDR is increased by around 4%, delay is decreased by 0.13 ms, and throughput is increased by 400 Kbps as compared to normal AOMDV. The proposed mechanism concluded and ensured that it gives better performance over existing technique and increase the reliability to transfer healthcare data.

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