Multi Objective Salp Swarm based Energy Efficient Routing Protocol for Heterogeneous Wireless Networks

Q3 Computer Science

International Journal of Computer Networks and Communications Pub Date : 2023-09-28 DOI:10.5121/ijcnc.2023.15505

Salima Nebti, Mohammed Redjimi

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引用次数: 0

Abstract

Routing is a persistent concern in wireless sensor networks (WSNs), as getting data from sources to destinations can be a tricky task. Challenges include safeguarding the data being transferred, ensuring network longevity, and preserving energy in harsh environmental conditions. Consequently, this study delves into the suitability of using multi-objective swarm optimization to route heterogeneous WSNs in the hope of mitigating these issues while boosting the speed and accuracy of data transmission. In order to achieve better performance in terms of load balancing and reducing energy expenditure, the MOSSA-BA algorithm was developed. This algorithm combines the Multi-Objective Salp Swarm Algorithm (MOSSA) with the exploiting strategy of the artificial bee colony (BA) in the neighbourhood of Salps. Inspired by the SEP and EDEEC protocols, the integrated solutions of MOSSA-BA were used to route two and three levels of heterogeneous networks. The embedded solutions provided outstanding performance in regards to FND, HND, LND, percentage of remaining energy, and the number of packages delivered to the base station. Compared to SEP, EDEEC, and other competitors based on MOSSA and a modified multi-objective particle swarm optimization (MOPSO), the MOSSA-BA-based protocols demonstrated energy-saving percentages of more than 34% in medium-sized areas of interest and over 22% in large-sized areas of detection.

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基于Salp群的异构无线网络节能路由协议

路由是无线传感器网络(wsn)一直关注的问题，因为将数据从源发送到目的地可能是一项棘手的任务。挑战包括保护传输的数据，确保网络寿命，以及在恶劣环境条件下节约能源。因此，本研究深入探讨了使用多目标群优化来路由异构WSNs的适用性，以期在提高数据传输速度和准确性的同时缓解这些问题。为了在负载均衡和降低能量消耗方面获得更好的性能，开发了MOSSA-BA算法。该算法将多目标Salp Swarm算法(MOSSA)与Salp邻域人工蜂群(BA)开发策略相结合。受SEP和edec协议的启发，MOSSA-BA的集成解决方案被用于路由二级和三级异构网络。嵌入式解决方案在FND、HND、LND、剩余能量百分比和发送到基站的数据包数量方面提供了出色的性能。与SEP、EDEEC和其他基于MOSSA和改进的多目标粒子群优化(MOPSO)的竞争对手相比，基于MOSSA- ba的协议在中型感兴趣区域的节能百分比超过34%，在大型检测区域的节能百分比超过22%。

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

International Journal of Computer Networks and Communications Computer Science-Computer Networks and Communications

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications.The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Computer Networks & Communications.