{"title":"802.15.4e LLDN中的重传调度-中继器的强化学习方法","authors":"A. Willig, Yakir Matusovsky, A. Kind","doi":"10.1109/ATNAC.2016.7878784","DOIUrl":null,"url":null,"abstract":"We consider the scheduling of retransmissions in the low-latency deterministic network (LLDN) extension to the IEEE 802.15.4 standard. We propose a number of retransmission schemes with varying degree of required changes to the LLDN specification. In particular, we propose a retransmission scheme which uses cooperative relayers and where the best relayer for a source node is learned using reinforcement-learning method. The method allows to adapt relayer selections in face of time-varying channels. Our results show that the relayer-based methods achieve a much better reliability over the other methods, both over static (but unknown) and over time-varying channels.","PeriodicalId":317649,"journal":{"name":"2016 26th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Retransmission scheduling in 802.15.4e LLDN - a reinforcement learning approach with relayers\",\"authors\":\"A. Willig, Yakir Matusovsky, A. Kind\",\"doi\":\"10.1109/ATNAC.2016.7878784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the scheduling of retransmissions in the low-latency deterministic network (LLDN) extension to the IEEE 802.15.4 standard. We propose a number of retransmission schemes with varying degree of required changes to the LLDN specification. In particular, we propose a retransmission scheme which uses cooperative relayers and where the best relayer for a source node is learned using reinforcement-learning method. The method allows to adapt relayer selections in face of time-varying channels. Our results show that the relayer-based methods achieve a much better reliability over the other methods, both over static (but unknown) and over time-varying channels.\",\"PeriodicalId\":317649,\"journal\":{\"name\":\"2016 26th International Telecommunication Networks and Applications Conference (ITNAC)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 26th International Telecommunication Networks and Applications Conference (ITNAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATNAC.2016.7878784\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 26th International Telecommunication Networks and Applications Conference (ITNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATNAC.2016.7878784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Retransmission scheduling in 802.15.4e LLDN - a reinforcement learning approach with relayers
We consider the scheduling of retransmissions in the low-latency deterministic network (LLDN) extension to the IEEE 802.15.4 standard. We propose a number of retransmission schemes with varying degree of required changes to the LLDN specification. In particular, we propose a retransmission scheme which uses cooperative relayers and where the best relayer for a source node is learned using reinforcement-learning method. The method allows to adapt relayer selections in face of time-varying channels. Our results show that the relayer-based methods achieve a much better reliability over the other methods, both over static (but unknown) and over time-varying channels.