{"title":"创新标志——粒子滤波在自组织噪声二值WSN中的跟踪性能研究","authors":"F. Aounallah, R. Amara, M. Turki-Hadj Alouane","doi":"10.1109/COMNET.2010.5699813","DOIUrl":null,"url":null,"abstract":"This paper deals with target tracking in a binary Wireless Sensor Network (WSN) context. In particular, we propose to study the performance of the Sign Of Innovation Particle Filter (SOI-PF) algorithm in a noisy context. This parallel algorithm based on the exchange of only one bit by instant between the sensors, has shown its efficiency for target tracking in a highly non linear and noiseless framework. For the proposed purpose we consider that the communication between sensors is done via noisy and fading channels, thereby placing the study in a realistic communication context. The major difficulty in our case is that the sensors don't receive the same observation since the communication channel differ from a pair of sensors to an other. Based on exhaustive simulations, we notice that the SOI-PF preserve its good tracking ability for Signal to Noise Ratio (SNR) value upper than 15dB. For SNR below this value, we succeed to improve the SOI-PF's performance by assigning a fixed sensor to perform the scheduling task for selecting the active sensors.","PeriodicalId":444734,"journal":{"name":"The Second International Conference on Communications and Networking","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of Sign Of Innovation - Particle Filter tracking performance in ad hoc noisy binary WSN\",\"authors\":\"F. Aounallah, R. Amara, M. Turki-Hadj Alouane\",\"doi\":\"10.1109/COMNET.2010.5699813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with target tracking in a binary Wireless Sensor Network (WSN) context. In particular, we propose to study the performance of the Sign Of Innovation Particle Filter (SOI-PF) algorithm in a noisy context. This parallel algorithm based on the exchange of only one bit by instant between the sensors, has shown its efficiency for target tracking in a highly non linear and noiseless framework. For the proposed purpose we consider that the communication between sensors is done via noisy and fading channels, thereby placing the study in a realistic communication context. The major difficulty in our case is that the sensors don't receive the same observation since the communication channel differ from a pair of sensors to an other. Based on exhaustive simulations, we notice that the SOI-PF preserve its good tracking ability for Signal to Noise Ratio (SNR) value upper than 15dB. For SNR below this value, we succeed to improve the SOI-PF's performance by assigning a fixed sensor to perform the scheduling task for selecting the active sensors.\",\"PeriodicalId\":444734,\"journal\":{\"name\":\"The Second International Conference on Communications and Networking\",\"volume\":\"201 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Second International Conference on Communications and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMNET.2010.5699813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second International Conference on Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMNET.2010.5699813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigation of Sign Of Innovation - Particle Filter tracking performance in ad hoc noisy binary WSN
This paper deals with target tracking in a binary Wireless Sensor Network (WSN) context. In particular, we propose to study the performance of the Sign Of Innovation Particle Filter (SOI-PF) algorithm in a noisy context. This parallel algorithm based on the exchange of only one bit by instant between the sensors, has shown its efficiency for target tracking in a highly non linear and noiseless framework. For the proposed purpose we consider that the communication between sensors is done via noisy and fading channels, thereby placing the study in a realistic communication context. The major difficulty in our case is that the sensors don't receive the same observation since the communication channel differ from a pair of sensors to an other. Based on exhaustive simulations, we notice that the SOI-PF preserve its good tracking ability for Signal to Noise Ratio (SNR) value upper than 15dB. For SNR below this value, we succeed to improve the SOI-PF's performance by assigning a fixed sensor to perform the scheduling task for selecting the active sensors.