{"title":"A cross-layer MAC protocol for contention reduction and pipelined flow optimization in wireless sensor networks","authors":"Ripudaman Singh, Sonali Chouhan","doi":"10.1109/ReTIS.2015.7232853","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel contention based cross-layer synchronous MAC protocol, CROP-MAC, to reduce the end-to-end transmission delay and energy consumption by optimizing the pipelined flow of data packets in wireless sensor networks. CROP-MAC optimizes pipelined flow with the help of staggered sleep/wake scheduling, efficient synchronization and appropriate use of routing layer information. Staggered sleep/wake scheduling and routing layer information enable CROP-MAC to schedule source to sink transmission of multiple data packets in a single cycle. We evaluate CROP-MAC through ns-2.35 simulations and compare it with PMAC, PRMAC and BulkMAC. Simulation results show, CROP-MAC outperforms best of the three protocols by 608.89 %, 14.36 % and 12.5 % in terms of end-to-end transmission delay, packet delivery ratio and energy consumption, respectively.","PeriodicalId":161306,"journal":{"name":"2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReTIS.2015.7232853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
In this paper, we present a novel contention based cross-layer synchronous MAC protocol, CROP-MAC, to reduce the end-to-end transmission delay and energy consumption by optimizing the pipelined flow of data packets in wireless sensor networks. CROP-MAC optimizes pipelined flow with the help of staggered sleep/wake scheduling, efficient synchronization and appropriate use of routing layer information. Staggered sleep/wake scheduling and routing layer information enable CROP-MAC to schedule source to sink transmission of multiple data packets in a single cycle. We evaluate CROP-MAC through ns-2.35 simulations and compare it with PMAC, PRMAC and BulkMAC. Simulation results show, CROP-MAC outperforms best of the three protocols by 608.89 %, 14.36 % and 12.5 % in terms of end-to-end transmission delay, packet delivery ratio and energy consumption, respectively.
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