Energy Aware Cluster Head Selection and Multipath Routing Using Whale-based Tunicate Swarm Algorithm (WTSA) for Wireless Sensor Network

Q2 Social Sciences

New Review of Information Networking Pub Date : 2022-01-02 DOI:10.1080/13614576.2022.2039748

Jatinder Singh, Anuj Kumar Gupta

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引用次数: 3

Abstract

ABSTRACT The wireless sensor network (WSN) plays a significant role in home automation, energy consumption monitoring, medical field, computational field, and so on. The major challenges associated with the WSN are time delay during the data transmission and network lifetime. Moreover, the cluster head selection (CHS) is also a challenging task. Hence, this research article introduces a novel multi-objective whale-based tunicate swarm algorithm (WTSA) for energy aware CHS process for multipath routing in WSN. The newly developed WTSA integrates the tunicate swarm algorithm (TSA) and whale optimization algorithm (WOA). The CHS procedure can be initiated by stimulating the sensor nodes in a network. The cluster heads (CHs) are selected by estimating these stimulated sensor nodes for delay, intercluster distance, node degree, energy and intracluster distance individually. Finally, the multipath routing is carried out through the proposed WTSA. The performance of the developed WTSA model is evaluated using metrics such as delay, number of nodes that are alive, throughput, and residual energy. The introduced WTSA attained better performance with respect to delay of 0.140 seconds for 100 nodes and throughput of 69,641 kbps for 100 nodes.

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基于鲸鱼群算法的无线传感器网络能量感知簇头选择和多径路由

无线传感器网络(WSN)在家庭自动化、能耗监测、医疗、计算等领域发挥着重要作用。无线传感器网络面临的主要挑战是数据传输过程中的时间延迟和网络寿命。此外，簇头选择(CHS)也是一个具有挑战性的任务。为此，本文针对无线传感器网络中能量感知的CHS过程，提出了一种新的基于鲸鱼的多目标被囊动物群算法(WTSA)。新开发的WTSA集成了被囊动物群算法(TSA)和鲸鱼优化算法(WOA)。CHS过程可以通过刺激网络中的传感器节点来启动。通过分别估计这些受刺激的传感器节点的时延、簇间距离、节点度、能量和簇内距离来选择簇头。最后，通过所提出的WTSA实现多路径路由。开发的WTSA模型的性能使用诸如延迟、存活节点数量、吞吐量和剩余能量等指标进行评估。引入的WTSA获得了更好的性能，100个节点的延迟为0.140秒，100个节点的吞吐量为69,641 kbps。

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

New Review of Information Networking Social Sciences-Education

CiteScore

2.10

自引率

0.00%

发文量

期刊介绍： Information networking is an enabling technology with the potential to integrate and transform information provision, communication and learning. The New Review of Information Networking, published biannually, provides an expert source on the needs and behaviour of the network user; the role of networks in teaching, learning, research and scholarly communication; the implications of networks for library and information services; the development of campus and other information strategies; the role of information publishers on the networks; policies for funding and charging for network and information services; and standards and protocols for network applications.