Multi‐objective moth swarm based sailfish model for optimal routing in wireless sensor network

M. Gunasekar, Gobalakrishnan Natesan, D. Samiayya
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Abstract

In recent years, the WSN are emerging swiftly since it finds applications in various domains including weather monitoring, attack detection, industrial monitoring, monitoring of submarine organisms, patient monitoring as well as the monitoring of ecological disorders. But WSN is also influenced by various other factors like network lifetime and energy consumption. It is necessary to provide an energy effective protocol to conquer certain troubles that includes packet delivery ratio, network lifetime, residual energy as well as effective routing in WSN. Therefore, this article aims to propose a novel protocol to enhance the energy efficiency of the network thereby providing an optimal routing path. This can be achieved by selecting an optimal cluster head that maintains communication between the base station and the sensor node. In this article, a novel multi‐objective moth swarm based sailfish (MOMS‐SF) technique is employed in selecting an optimal cluster head. The proposed MOMS‐SF technique enhances the network lifetime and minimizes the energy consumption of the network. Finally, the evaluation results are conducted to determine the network performances of the proposed MOMS‐SF approach. Also, a comparative analysis is carried out and the graphical analyzes for various parameters are made for various approaches to determine the effectiveness of the proposed system.
基于多目标飞蛾群的无线传感器网络最优路由旗鱼模型
近年来,无线传感器网络在天气监测、攻击检测、工业监测、海底生物监测、患者监测以及生态紊乱监测等各个领域得到了迅速的应用。但无线传感器网络也受到网络寿命和能耗等多种因素的影响。为了解决无线传感器网络中存在的数据包传输率、网络寿命、剩余能量和有效路由等问题,有必要提供一种能量有效的协议。因此,本文旨在提出一种新的协议,以提高网络的能源效率,从而提供最优路由路径。这可以通过选择一个保持基站和传感器节点之间通信的最佳簇头来实现。本文采用一种新的基于飞蛾群的多目标旗鱼(mom - SF)技术来选择最优簇头。所提出的mom - SF技术提高了网络的寿命,并最大限度地降低了网络的能耗。最后,进行了评估结果,以确定所提出的mom - SF方法的网络性能。此外,还对各种方法进行了对比分析,并对各种参数进行了图形化分析,以确定所提出系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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