S. D. Chavan, A. Kulkarni, Tejashree S. Khot, Neeta Patil
{"title":"Bio inspired algorithm for disaster management","authors":"S. D. Chavan, A. Kulkarni, Tejashree S. Khot, Neeta Patil","doi":"10.1109/ICESA.2015.7503455","DOIUrl":null,"url":null,"abstract":"Disaster occurs unexpectedly and affects communication system severely. Disaster management is an enormous task. They are not confined to any particular location neither their time period is predictable. Therefore, it is necessary that there is proper management to optimize efficiency of planning and response. Due to limited resources efforts at the governmental, private and community levels are necessary. Disaster not only affects life and property but also causes breakdown of communication system. In this paper we proposed bio inspired algorithms for disaster management. Bio inspired algorithms such as Genetic Algorithm and Artificial Bee Colony Algorithms are proposed for efficient disaster management. Bio inspired algorithms helps in maintaining communication system even in disaster conditions. Number of parameters such as throughput, End to End delay and Energy consumption are enhanced using bio inspired algorithms. Result shows that bio inspired algorithms helps in enhancing performance of wireless sensor network in disaster conditions.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"300 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Energy Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESA.2015.7503455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Disaster occurs unexpectedly and affects communication system severely. Disaster management is an enormous task. They are not confined to any particular location neither their time period is predictable. Therefore, it is necessary that there is proper management to optimize efficiency of planning and response. Due to limited resources efforts at the governmental, private and community levels are necessary. Disaster not only affects life and property but also causes breakdown of communication system. In this paper we proposed bio inspired algorithms for disaster management. Bio inspired algorithms such as Genetic Algorithm and Artificial Bee Colony Algorithms are proposed for efficient disaster management. Bio inspired algorithms helps in maintaining communication system even in disaster conditions. Number of parameters such as throughput, End to End delay and Energy consumption are enhanced using bio inspired algorithms. Result shows that bio inspired algorithms helps in enhancing performance of wireless sensor network in disaster conditions.