Surviving node-node failures within wireless networks for a near optimal ant colony system message re-routing

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2019-01-01 DOI:10.1504/ijmndi.2019.10029885

Ayoade A. Owoade, I. Osunmakinde

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引用次数: 1

Abstract

This research develops the ant colony system (ACS) survivability model based on capacity efficiency and fast restoration to swiftly resolve node-node failure problems for increasing quality of service. The resilience of the swarm model was tested on such failures at different locations on 20, 26 and 30 node wireless networks. The proposed ACS-based capacity efficiency model was able to generate near optimal paths, the bandwidth required for fast rerouting, the transmission delay and the transmission time for re-routing voice messages. Increased multiple node failures revealed that transmission delay is high when insufficient bandwidth is used for message transmission. Further experiments revealed that the higher the number of nodes on the network, the higher the bandwidth required to transmit a message effectively. Hence, the ACS-based capacity efficiency model therefore outperforms the Dijkstra algorithm, adaptive and reactive restoration models in terms of speed of transmission, transmission delay and running time complexity. The new solution paths generated from these experiments demonstrated that the proposed swarm technology is feasible for current business applications that require high speed/broadband networks.

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近乎最优蚁群系统消息重路由的无线网络中幸存节点故障

为了快速解决节点故障问题，提高服务质量，提出了基于容量效率和快速恢复的蚁群系统(ACS)生存能力模型。在20节点、26节点和30节点无线网络的不同位置对这类故障进行了群模型的弹性测试。提出的基于acs的容量效率模型能够生成近似最优路径、快速重路由所需的带宽、重路由语音消息的传输延迟和传输时间。多节点故障的增加表明，当用于消息传输的带宽不足时，传输延迟很大。进一步的实验表明，网络上的节点数量越多，有效传输消息所需的带宽就越高。因此，基于acs的容量效率模型在传输速度、传输延迟和运行时间复杂度方面优于Dijkstra算法、自适应和无功恢复模型。从这些实验中产生的新的解决方案路径表明，所提出的群技术对于当前需要高速/宽带网络的业务应用是可行的。

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 Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.