An Energy-Aware and Fault-Tolerant WSN Routing Approach Using Serial Exponential Newton Metaheuristic Algorithm for Agricultural Lands

IF 1.1 4区计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS

Cybernetics and Systems Pub Date : 2023-02-10 DOI:10.1080/01969722.2023.2175146

Herlin L T, Lenin Fred A

引用次数: 0

Abstract

Abstract Wireless Sensor Network (WSN) is becoming a promising platform, in which Sensor Nodes (SNs) can sense and monitor the physical or environmental conditions and send the data to the Base Station (BS) through multi-hop routing. Here, opting for the right Cluster Head Selection (CHS) is the key to enhancing the clustering routing protocol performance. Here, a new optimization model to prolong the lifetime of the network and progress the energy efficiency in the routing process is anticipated. The Serial Exponential Newton Meta heuristic algorithm (SExpNMA) is developed for CHS and routing. The parameters like energy, Link Lifetime (LLT), and delay, are considered as the fitness function of the proposed SExpNMA to select the optimal solution. Ultimately, the performance analysis clearly reveals that the SExpNMA technique attains the maximum residual energy of 0.515 J, LLT of 0.346, the throughput of 0.617, and minimum delay of 0.236 s, respectively.

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一种基于串行指数牛顿元启发式算法的能量感知容错农田无线传感器网络路由方法

摘要无线传感器网络（WSN）正成为一个很有前途的平台，其中传感器节点（SN）可以感知和监测物理或环境条件，并通过多跳路由将数据发送到基站（BS）。在这里，选择正确的簇头选择（CHS）是提高集群路由协议性能的关键。本文提出了一种新的优化模型，以延长网络的使用寿命，提高路由过程中的能源效率。串行指数牛顿元启发式算法（SExpNMA）是为CHS和路由而开发的。能量、链路寿命（LLT）和延迟等参数被认为是所提出的SExpNMA的适应度函数，以选择最优解。最终，性能分析清楚地表明，SExpNMA技术获得了0.515的最大残余能量 J、 LLT为0.346，吞吐量为0.617，最小延迟为0.236 s、分别。

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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来源期刊

Cybernetics and Systems 工程技术-计算机：控制论

CiteScore

4.30

自引率

5.90%

发文量

审稿时长

>12 weeks

期刊介绍： Cybernetics and Systems aims to share the latest developments in cybernetics and systems to a global audience of academics working or interested in these areas. We bring together scientists from diverse disciplines and update them in important cybernetic and systems methods, while drawing attention to novel useful applications of these methods to problems from all areas of research, in the humanities, in the sciences and the technical disciplines. Showing a direct or likely benefit of the result(s) of the paper to humankind is welcome but not a prerequisite. We welcome original research that: -Improves methods of cybernetics, systems theory and systems research- Improves methods in complexity research- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more areas in the humanities- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more scientific disciplines- Shows novel useful applications of cybernetics and/or systems methods to technical problems- Shows novel applications in the arts