Secured and energy efficient cluster based routing in WSN via hybrid optimization model, TICOA

IF 3.8 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Sustainable Computing-Informatics & Systems Pub Date : 2024-11-20 DOI:10.1016/j.suscom.2024.101052
Namita K. Shinde, Vinod H. Patil
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Abstract

There are two main design issues in Wireless Sensor Network (WSN) routing including energy optimization and security provision. Due to the energy limitations of wireless sensor devices, the problem of high usage of energy must be properly addressed to enhance the network efficiency. Several research works have been addressed to solve the routing issue in WSN with security concerns and network life time enhancement. However, the network overhead and routing traffic are some of the obstacles still not tackled by the existing models. Hence, to enhance the routing performance, a new cluster-based routing model is introduced in this work that includes two phases like Cluster Head (CH) selection and Routing. In the first phase, the hybrid optimization model, Tasmanian Integrated Coot Optimization Algorithm (TICOA) is proposed for selecting the optimal CH under the consideration of constraints like security, Energy, Trust, Delay and Distance. Subsequently, the routing process takes place under the constraints of Trust and Link Quality that ensures the enhancement of the network lifetime of WSN. Finally, simulation results show the performance of the proposed work on cluster-based routing in terms of different performance measures. The conventional systems received lower trust ratings, specifically BOA=0.489, BSA=0.475, GA=0.493, TDO=0.418, COOT=0.439, TSGWO=0.427, and P-WWO=0.408, whereas the trust value of the TICOA technique is 0.683.
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通过混合优化模型实现 WSN 中基于集群的安全节能路由,TICOA
无线传感器网络(WSN)路由有两个主要设计问题,包括能量优化和安全提供。由于无线传感器设备的能量限制,必须妥善解决高能耗问题,以提高网络效率。已有多项研究成果解决了 WSN 中的路由问题,并考虑到了安全问题和网络寿命的延长。然而,网络开销和路由流量是现有模型仍未解决的一些障碍。因此,为了提高路由性能,本研究提出了一种新的基于簇的路由模型,包括簇头(CH)选择和路由两个阶段。在第一阶段,提出了混合优化模型--塔斯马尼亚集成簇优化算法(TICOA),用于在考虑安全、能量、信任、延迟和距离等约束条件的情况下选择最优的簇头(CH)。随后,在信任和链路质量的约束下进行路由选择,确保提高 WSN 的网络寿命。最后,仿真结果显示了基于集群路由的建议工作在不同性能指标方面的表现。传统系统的信任度较低,具体为 BOA=0.489、BSA=0.475、GA=0.493、TDO=0.418、COOT=0.439、TSGWO=0.427 和 P-WWO=0.408,而 TICOA 技术的信任值为 0.683。
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来源期刊
Sustainable Computing-Informatics & Systems
Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
10.70
自引率
4.40%
发文量
142
期刊介绍: Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.
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