群智能在MANET路由问题上的应用:一个揭示潜在研究课题的实证研究

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2019-01-01 DOI:10.1504/ijmndi.2019.10029888

Gibson Chengetanai, I. Osunmakinde

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引用次数: 0

摘要

移动自组网(MANET)由一组使用无线链路进行通信的移动节点组成。manet通常部署在难以部署电信的环境中，例如紧急救援行动中。由于新节点的加入和其他节点的任意离开，MANET网络非常灵活，因此在MANET网络中寻找数据包路由的最佳路径是一个具有挑战性的领域。本文综述了基于群的多网优化路由领域，揭示了基于群的优化路由中隐藏和研究较少的领域。研究结果可作为理解无线网络中基于群的路由优化技术的参考指南。已经开发了一个涵盖MANET路由优化的各种子主题的框架。对所产生的开放性研究问题的探索有助于智能软件的开发，这对于优化移动网络解决方案以满足网络提供商和用户的需求至关重要。

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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Swarm intelligence on MANET routing issues: an empirical study revealing latent research topics

A mobile ad hoc network (MANET) is formed by a group of mobile nodes which communicate using wireless links. MANETs are usually deployed in environments where it is difficult to deploy telecommunications, such as in emergency rescue operations. MANET networks are very flexible, as new nodes join and other nodes leave arbitrarily, hence finding an optimal path to route data packets in MANET networks is a challenging domain. This paper presents a review on MANET optimisation routing areas to reveal hidden and less researched areas on swarm-based optimisation routing. The research findings can be used as a reference guide to understand swarm-based optimisation routing techniques in wireless networks. A framework covering various sub-themes on MANET routing optimisation has been developed. Exploration of the generated open research questions can be beneficial in the development of intelligent software critical to optimise mobile network solutions to satisfy network providers and subscribers needs.

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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.