{"title":"EE-CAN: Energy efficient clustering in aerial networks","authors":"S. Chandrasekharan, K. Sithamparanathan, R. Evans","doi":"10.1109/ICSPCS.2017.8270497","DOIUrl":null,"url":null,"abstract":"Aerial networks based on Low Altitude Platforms (LAP) provides an excellent method to rapidly deploy flexible communications infrastructure during large-scale emergency and public events. In such situations, it is of utmost importance to extend the lifetime of the battery operated hand-held devices serving on the ground. In this paper, we propose a novel clustering technique to improve the energy efficiency of the terrestrial nodes served by the aerial base-station under uncertain channel conditions on the ground. The proposed technique is analysed by means of simulations and the results are compared with well-known clustering algorithms. The results show that the proposed clustering mechanism significantly improves the energy efficiency of the terrestrial nodes under certain conditions.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCS.2017.8270497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Aerial networks based on Low Altitude Platforms (LAP) provides an excellent method to rapidly deploy flexible communications infrastructure during large-scale emergency and public events. In such situations, it is of utmost importance to extend the lifetime of the battery operated hand-held devices serving on the ground. In this paper, we propose a novel clustering technique to improve the energy efficiency of the terrestrial nodes served by the aerial base-station under uncertain channel conditions on the ground. The proposed technique is analysed by means of simulations and the results are compared with well-known clustering algorithms. The results show that the proposed clustering mechanism significantly improves the energy efficiency of the terrestrial nodes under certain conditions.