Access Point Planning for Disaster Scenario using Dragonfly Algorithm

Sanjoy Debnath, Anand Jee, S. Baishya, W. Arif, P. Saikia, Shoaib Naafi
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引用次数: 5

Abstract

Need of communication in a disaster scenario is very crucial, so this has been an important task for the communication network to provide access to each and every user during and post disaster (DPD) event. Regarding this here we propose a planning for access point (AP) deployment to cover the mention area optimally through providing adequate data rate to every user. The planning of AP has a significant advantage in respect of coverage, capacity and number of AP. Here in locating optimal location for the deployment of AP in a considered zone we consider the key objective would be maximizing the utilization of each AP, considering the coverage and capacity of an AP as a constraint, while taking into account the mutual interference between nearby APs should be at lower level. Here for optimal solution of AP location, we use recently developed heuristic and evolutionary Dragonfly Algorithm (DA) optimization technique.
基于蜻蜓算法的灾难场景接入点规划
在灾难场景中,通信需求是非常重要的,因此在灾难期间和灾难后为每个用户提供访问已成为通信网络的一项重要任务。关于这一点,我们提出了一种接入点(AP)部署计划,通过向每个用户提供足够的数据速率来最佳地覆盖提到的区域。AP的规划在AP的覆盖范围、容量和数量方面具有显著的优势。在选定AP部署的最佳位置时,我们认为关键目标是最大化每个AP的利用率,将AP的覆盖范围和容量作为约束,同时考虑到附近AP之间的相互干扰应处于较低水平。对于AP位置的最优解,我们采用了最近发展起来的启发式和进化蜻蜓算法(DA)优化技术。
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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