Hui Huang, Chunlong Li, Chao Wu, Fan Wu, Luming Li
{"title":"无线信息与能量同步传输场景下的能效优化方法","authors":"Hui Huang, Chunlong Li, Chao Wu, Fan Wu, Luming Li","doi":"10.1109/CYBERC.2018.00064","DOIUrl":null,"url":null,"abstract":"In wireless sensor network, nodes with limited energy bring negative impact of network data aggregation. This paper solves the problem based on the RF transfer technology. We first study the impact of simultaneous transmission of wireless information and energy method SWIPT on data aggregation energy consumption, and obtains the result that the TS-SWIPT method can improve the initial energy efficiency of the node, and use node's redundancy energy to optimize the energy efficiency of the network. The paper also proposes an energy transfer time slot optimization method CSAS to develop an efficient TS-SWIPT transmission strategy. In order to solve the CSAS slot allocation problem, a heuristic algorithm is given to obtain a set of feasible solutions reasonably and effectively based on the energy consumption distribution of nodes. The final simulation results show that the CSAS allocation strategy can make reasonable use of the node's redundant energy, improve the initial energy efficiency of the node, and prolong the life of the high-load node. Compared with the DOEE algorithm which does not use the TS-SWIPT method, the proposed algorithm improves the performance of network lifetime and total data aggregation to some degree.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Efficiency Optimization Method Under the Scene of Wireless Information and Energy Simultaneous Transmission\",\"authors\":\"Hui Huang, Chunlong Li, Chao Wu, Fan Wu, Luming Li\",\"doi\":\"10.1109/CYBERC.2018.00064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In wireless sensor network, nodes with limited energy bring negative impact of network data aggregation. This paper solves the problem based on the RF transfer technology. We first study the impact of simultaneous transmission of wireless information and energy method SWIPT on data aggregation energy consumption, and obtains the result that the TS-SWIPT method can improve the initial energy efficiency of the node, and use node's redundancy energy to optimize the energy efficiency of the network. The paper also proposes an energy transfer time slot optimization method CSAS to develop an efficient TS-SWIPT transmission strategy. In order to solve the CSAS slot allocation problem, a heuristic algorithm is given to obtain a set of feasible solutions reasonably and effectively based on the energy consumption distribution of nodes. The final simulation results show that the CSAS allocation strategy can make reasonable use of the node's redundant energy, improve the initial energy efficiency of the node, and prolong the life of the high-load node. Compared with the DOEE algorithm which does not use the TS-SWIPT method, the proposed algorithm improves the performance of network lifetime and total data aggregation to some degree.\",\"PeriodicalId\":282903,\"journal\":{\"name\":\"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBERC.2018.00064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2018.00064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Efficiency Optimization Method Under the Scene of Wireless Information and Energy Simultaneous Transmission
In wireless sensor network, nodes with limited energy bring negative impact of network data aggregation. This paper solves the problem based on the RF transfer technology. We first study the impact of simultaneous transmission of wireless information and energy method SWIPT on data aggregation energy consumption, and obtains the result that the TS-SWIPT method can improve the initial energy efficiency of the node, and use node's redundancy energy to optimize the energy efficiency of the network. The paper also proposes an energy transfer time slot optimization method CSAS to develop an efficient TS-SWIPT transmission strategy. In order to solve the CSAS slot allocation problem, a heuristic algorithm is given to obtain a set of feasible solutions reasonably and effectively based on the energy consumption distribution of nodes. The final simulation results show that the CSAS allocation strategy can make reasonable use of the node's redundant energy, improve the initial energy efficiency of the node, and prolong the life of the high-load node. Compared with the DOEE algorithm which does not use the TS-SWIPT method, the proposed algorithm improves the performance of network lifetime and total data aggregation to some degree.