Sanjoy Debnath, Anand Jee, S. Baishya, W. Arif, P. Saikia, Shoaib Naafi
{"title":"Access Point Planning for Disaster Scenario using Dragonfly Algorithm","authors":"Sanjoy Debnath, Anand Jee, S. Baishya, W. Arif, P. Saikia, Shoaib Naafi","doi":"10.1109/SPIN.2018.8474051","DOIUrl":null,"url":null,"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.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIN.2018.8474051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.