{"title":"Energy — Efficiency techniques in cooperative spectrum sensing: A survey","authors":"Meenakshi Awasthi, Vijay Kumar, M. Nigam","doi":"10.1109/CIACT.2017.7977341","DOIUrl":null,"url":null,"abstract":"Cognitive radio is a propitious technology to alleviate the issue of spectrum paucity by sensing and allocation of free spectrum bands. Spectrum sensing may be local: single node or cooperative: multiple nodes. It is customary that single node spectrum sensing is not much reliable as compared to cooperative spectrum sensing. However, cooperative spectrum sensing suffers from large overhead due to multiple secondary users who are working in cooperation with each other. Hence, energy efficiency in cooperative spectrum sensing is a challenging concern in cognitive radio. This survey enlightens the various aspects of energy efficiency in cooperative spectrum sensing. Various energy efficient algorithms are available in the literature. This survey compares various methods and techniques used for the optimization of no. of collaborative user in cooperative spectrum sensing. Challenges, drawbacks and newfangled ways of energy efficient collaborative sensing are briefly covered.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2017.7977341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Cognitive radio is a propitious technology to alleviate the issue of spectrum paucity by sensing and allocation of free spectrum bands. Spectrum sensing may be local: single node or cooperative: multiple nodes. It is customary that single node spectrum sensing is not much reliable as compared to cooperative spectrum sensing. However, cooperative spectrum sensing suffers from large overhead due to multiple secondary users who are working in cooperation with each other. Hence, energy efficiency in cooperative spectrum sensing is a challenging concern in cognitive radio. This survey enlightens the various aspects of energy efficiency in cooperative spectrum sensing. Various energy efficient algorithms are available in the literature. This survey compares various methods and techniques used for the optimization of no. of collaborative user in cooperative spectrum sensing. Challenges, drawbacks and newfangled ways of energy efficient collaborative sensing are briefly covered.