{"title":"无线视频传感器网络中的功率拥塞-失真优化调度","authors":"A. N. Kim, Eren Gürses","doi":"10.1109/ISWCS.2008.4726121","DOIUrl":null,"url":null,"abstract":"Wireless video sensor networks (WVSNs) bring a new set of design challenges due to their specific application requirements in terms of latency, bit rate, and power consumption. In this paper, we propose an application layer power-congestion-distortion (P-C-D) optimized multi-path transmission scheduling algorithm. The algorithm utilizes existing techniques and protocols on the various layers and is designed to minimize the overall transmission power consumption while maintaining a desired level of quality. Simulation results show that optimal tradeoffs can be made between available multiple routes and transmission opportunities. Heuristic approaches can also be applied with much lower complexity without sacrificing much performance.","PeriodicalId":158650,"journal":{"name":"2008 IEEE International Symposium on Wireless Communication Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Power-Congestion-Distortion optimized scheduling in Wireless Video Sensor Networks\",\"authors\":\"A. N. Kim, Eren Gürses\",\"doi\":\"10.1109/ISWCS.2008.4726121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless video sensor networks (WVSNs) bring a new set of design challenges due to their specific application requirements in terms of latency, bit rate, and power consumption. In this paper, we propose an application layer power-congestion-distortion (P-C-D) optimized multi-path transmission scheduling algorithm. The algorithm utilizes existing techniques and protocols on the various layers and is designed to minimize the overall transmission power consumption while maintaining a desired level of quality. Simulation results show that optimal tradeoffs can be made between available multiple routes and transmission opportunities. Heuristic approaches can also be applied with much lower complexity without sacrificing much performance.\",\"PeriodicalId\":158650,\"journal\":{\"name\":\"2008 IEEE International Symposium on Wireless Communication Systems\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Wireless Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2008.4726121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2008.4726121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power-Congestion-Distortion optimized scheduling in Wireless Video Sensor Networks
Wireless video sensor networks (WVSNs) bring a new set of design challenges due to their specific application requirements in terms of latency, bit rate, and power consumption. In this paper, we propose an application layer power-congestion-distortion (P-C-D) optimized multi-path transmission scheduling algorithm. The algorithm utilizes existing techniques and protocols on the various layers and is designed to minimize the overall transmission power consumption while maintaining a desired level of quality. Simulation results show that optimal tradeoffs can be made between available multiple routes and transmission opportunities. Heuristic approaches can also be applied with much lower complexity without sacrificing much performance.