{"title":"Research on Improved S-MAC Energy Conservation Based on Adaptive Mechanism","authors":"Qiang Li, Yawen Lan, Daogang Lu, Jia Sun","doi":"10.1109/ICCT46805.2019.8947087","DOIUrl":null,"url":null,"abstract":"Since the node duty cycle and backoff mechanism cannot change with the network environment, the power consumption of the S-MAC protocol is somewhat high. In the backoff phase, channel utilization is introduced to reflect the busyness of the network. In this paper, the size of the contention window of the node is adaptively adjusted, and the additional energy consumption caused by the network conflict is reduced by introducing the residual energy factor of the node. At the same time, in order to adapt to the dynamic changes of the network, the network traffic load factor is used to adaptively adjust the duty cycle of each node in the listening/sleep phase. This approach effectively increases network throughput and extends the lifecycle of the entire wireless sensor network. The simulation results depict that the proposed algorithm shows superior performance in terms of average network throughput, average latency, energy utilization, and adaptability over the S-MAC.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT46805.2019.8947087","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
Since the node duty cycle and backoff mechanism cannot change with the network environment, the power consumption of the S-MAC protocol is somewhat high. In the backoff phase, channel utilization is introduced to reflect the busyness of the network. In this paper, the size of the contention window of the node is adaptively adjusted, and the additional energy consumption caused by the network conflict is reduced by introducing the residual energy factor of the node. At the same time, in order to adapt to the dynamic changes of the network, the network traffic load factor is used to adaptively adjust the duty cycle of each node in the listening/sleep phase. This approach effectively increases network throughput and extends the lifecycle of the entire wireless sensor network. The simulation results depict that the proposed algorithm shows superior performance in terms of average network throughput, average latency, energy utilization, and adaptability over the S-MAC.