{"title":"基于模糊逻辑优化的异构无线传感器网络生存期增强和分组成功路由算法","authors":"Djamal Djabour, T. Ezzedine","doi":"10.1109/IINTEC.2018.8695304","DOIUrl":null,"url":null,"abstract":"The lifetime enhancement in a wireless sensor network (WSN) is an area of a lot of research. It is related to the management of energy consumption between nodes. In this context, there are many kinds of literature proposed to give a good distribution of traffic and optimizations models to enhance the network lifetime. In this paper, we used the fuzzy logic approach to obtain the maximum lifetime taking into account the residual energy parameter and studying the quality of service of the network by adding the probability of packets successful. At least we proved that our algorithm achieved lifetime with a residual energy less than 10% for all nodes.","PeriodicalId":144578,"journal":{"name":"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Routing Algorithm Based on Fuzzy Logic Optimization for Lifetime Enhancement and Packet Success in Heterogeneous Wireless Sensor Networks\",\"authors\":\"Djamal Djabour, T. Ezzedine\",\"doi\":\"10.1109/IINTEC.2018.8695304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The lifetime enhancement in a wireless sensor network (WSN) is an area of a lot of research. It is related to the management of energy consumption between nodes. In this context, there are many kinds of literature proposed to give a good distribution of traffic and optimizations models to enhance the network lifetime. In this paper, we used the fuzzy logic approach to obtain the maximum lifetime taking into account the residual energy parameter and studying the quality of service of the network by adding the probability of packets successful. At least we proved that our algorithm achieved lifetime with a residual energy less than 10% for all nodes.\",\"PeriodicalId\":144578,\"journal\":{\"name\":\"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IINTEC.2018.8695304\",\"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 Internet of Things, Embedded Systems and Communications (IINTEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IINTEC.2018.8695304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Routing Algorithm Based on Fuzzy Logic Optimization for Lifetime Enhancement and Packet Success in Heterogeneous Wireless Sensor Networks
The lifetime enhancement in a wireless sensor network (WSN) is an area of a lot of research. It is related to the management of energy consumption between nodes. In this context, there are many kinds of literature proposed to give a good distribution of traffic and optimizations models to enhance the network lifetime. In this paper, we used the fuzzy logic approach to obtain the maximum lifetime taking into account the residual energy parameter and studying the quality of service of the network by adding the probability of packets successful. At least we proved that our algorithm achieved lifetime with a residual energy less than 10% for all nodes.