利用博弈论方法提出一种具有最优路径选择的非异常节点混合拓扑组织

Kanmani S, M. Murali
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引用次数: 0

摘要

在动态通信网络中,提高能源效率是实现可靠通信的主要挑战之一。考虑到这一挑战,我们专注于开发网络的拓扑结构。在本研究中,我们设计了一种混合星形网格拓扑结构,以最大限度地减少网络的延迟和能耗。在混合网络拓扑中,使用Ad-Hoc按需多路径距离矢量(AOMDV)路由协议在源和目的之间建立多条路径。在多条路径中,使用黑猩猩优化算法(Chimp Optimization Algorithm, ChOA)在路由路径丢失能级时选择最优路径。最优路径选择可以提高网络的能效。仿真结果表明,该方案在传输率、能耗、延迟和吞吐量等方面的总体性能优于传统方案。
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Proposing a Hybrid Topological Organization for Non-Misbehaving Nodes with Optimal Path Selection Using Game-Theoretic Approach
In dynamic communication networks, improvement of energy efficiency is one of the major challenges for reliable communication. By considering this challenge, we focus to develop the topology of the network. In this study, we design a hybrid star-mesh topology for minimizing the latency as well as energy consumption of the network. In the hybrid network topology, the Ad-Hoc On-Demand Multipath Distance Vector (AOMDV) routing protocol is used to establish multiple paths between source and destination. Among the multiple paths, the optimal path is chosen using Chimp Optimization Algorithm (ChOA) when the routing path loses its energy level. The optimal path selection leads to enhancing the energy efficiency of the network. Simulation results discuss the superior performance of the proposed scheme in terms of delivery ratio, energy consumption, delay, and throughput by 7% on aggregate.
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来源期刊
Journal of Computer Science
Journal of Computer Science Computer Science-Computer Networks and Communications
CiteScore
1.70
自引率
0.00%
发文量
92
期刊介绍: Journal of Computer Science is aimed to publish research articles on theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems. JCS updated twelve times a year and is a peer reviewed journal covers the latest and most compelling research of the time.
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