{"title":"Performance Evaluation of Artificial Bee Colony and Compressive Sensing Based Energy Efficient Protocol for WSNs","authors":"Simranpreet Kaur, Shivani Sharma","doi":"10.1109/SITIS.2017.25","DOIUrl":null,"url":null,"abstract":"Day to day rapid growth of development in wireless communication offers enabled improvement that associated with low cost along with low power wireless sensor networks devices. Unbalanced energy utilization is undoubtedly an inherent problem in Wireless sensor networks (WSNs) described as multi-hop routing a along with many-to-one traffic patterns. To overcome this problem a novel compressive sensing based energy efficient protocol is proposed. Majority of existing techniques have neglected the use of compressive sensing and efficient path selection techniques. Therefore, in order to eliminate these kinds of problems/issues, in this particular work two new approaches has been proposed. By using Artificial Bee Colony (ABC) optimization technique for improvement in efficient energy routing protocol and furthermore, to increases the performance with the use of the compressive sensing by run length coding also. The actual compressive sensing works by using data fusion to eliminate unnecessary information from sensor nodes. Therefore, proposed technique has improved the energy conservation rate further.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2017.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Day to day rapid growth of development in wireless communication offers enabled improvement that associated with low cost along with low power wireless sensor networks devices. Unbalanced energy utilization is undoubtedly an inherent problem in Wireless sensor networks (WSNs) described as multi-hop routing a along with many-to-one traffic patterns. To overcome this problem a novel compressive sensing based energy efficient protocol is proposed. Majority of existing techniques have neglected the use of compressive sensing and efficient path selection techniques. Therefore, in order to eliminate these kinds of problems/issues, in this particular work two new approaches has been proposed. By using Artificial Bee Colony (ABC) optimization technique for improvement in efficient energy routing protocol and furthermore, to increases the performance with the use of the compressive sensing by run length coding also. The actual compressive sensing works by using data fusion to eliminate unnecessary information from sensor nodes. Therefore, proposed technique has improved the energy conservation rate further.