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A New Routing Protocol for Energy Optimization in Mobile Ad Hoc Networks Using the Cuckoo Optimization and the TOPSIS Multi-Criteria Algorithm
Cybernetics and Systems ( IF 1.1 ) Pub Date : 2021-04-12 , DOI: 10.1080/01969722.2021.1899597
Shayesteh Tabatabaei 1
Affiliation  

Abstract

The Mobile Ad Hoc Network (MANET) is a set of ad hoc nodes without any infrastructure that form a temporary network without the presence of central control. Nodes present in such networks are usually in movement and result in frequent topological changes. The design of proper routing protocols to control dynamic topological changes in an ad hoc network can enhance the performance of a network. In this regard, the current study attempts to present a new routing protocol to improve energy consumption using the Cuckoo Optimization Algorithm and the TOPSIS multi-criteria algorithm. The proposed approach can be applied in dynamic environments, and four important variables including the accessible bandwidth, the remaining energy, the speed of movement, and the number of steps necessary for routing have been considered for it. To select proper groups for the purpose of relaying data packages, the TOPSIS multi-criteria algorithm was applied. In addition, the Cuckoo Optimization Algorithm was used to select the shortest route between the relay groups. The simulation results showed that the process of selecting a stable route using the Cuckoo Optimization Algorithm and the TOPSIS algorithm has a significant impact on the performance of networks, and the proposed algorithm shows better performance compared to the methods introduced in Tabatabaei and Behravesh with regard to the throughput and the end-to-end delay.



中文翻译:

使用 Cuckoo 优化和 TOPSIS 多准则算法的移动 Ad Hoc 网络能量优化的新路由协议

摘要

移动自组织网络 (MANET) 是一组没有任何基础设施的自组织节点,它们形成了一个没有中央控制存在的临时网络。此类网络中存在的节点通常处于运动状态并导致频繁的拓扑变化。设计适当的路由协议来控制自组织网络中的动态拓扑变化可以提高网络的性能。在这方面,当前的研究试图提出一种新的路由协议,以使用 Cuckoo 优化算法和 TOPSIS 多准则算法来改善能耗。所提出的方法可以应用于动态环境,并且已经考虑了四个重要变量,包括可访问带宽、剩余能量、移动速度和路由所需的步数。为了选择合适的组以中继数据包,应用了 TOPSIS 多标准算法。此外,还使用了布谷鸟优化算法来选择中继组之间的最短路径。仿真结果表明,使用 Cuckoo 优化算法和 TOPSIS 算法选择稳定路由的过程对网络性能有显着影响,与 Tabatabaei 和 Behravesh 引入的方法相比,所提出的算法表现出更好的性能。吞吐量和端到端延迟。

更新日期:2021-06-21
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