{"title":"无线传感器网络中基于GF(q)的LDPC码分布式图像编码方案","authors":"P. N. Huu, Vinh Tran-Quang, T. Miyoshi","doi":"10.1109/iNCoS.2012.34","DOIUrl":null,"url":null,"abstract":"This work reports an image encoding scheme that distributes low-density parity-check (LDPC) encoding over a prime field of order q, GF(q), on a wireless sensor network (WSN). In the scheme, we divide the input data into several small parts, which are then distributed to multiple nodes to perform a LDPC encoding task in a cluster. We conducted extensive computational simulations to verify our method and found that the LDPC codes over GF(4) achieve a fair trade off between the bit error rate (BER) and power consumption criteria. As a result, the proposed scheme of using LDPC codes over GF(4) not only solves the energy balance problem by sharing processing tasks but also increases the data quality.","PeriodicalId":287478,"journal":{"name":"2012 Fourth International Conference on Intelligent Networking and Collaborative Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Distributed Image Encoding Scheme Using LDPC Codes over GF(q) on Wireless Sensor Networks\",\"authors\":\"P. N. Huu, Vinh Tran-Quang, T. Miyoshi\",\"doi\":\"10.1109/iNCoS.2012.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work reports an image encoding scheme that distributes low-density parity-check (LDPC) encoding over a prime field of order q, GF(q), on a wireless sensor network (WSN). In the scheme, we divide the input data into several small parts, which are then distributed to multiple nodes to perform a LDPC encoding task in a cluster. We conducted extensive computational simulations to verify our method and found that the LDPC codes over GF(4) achieve a fair trade off between the bit error rate (BER) and power consumption criteria. As a result, the proposed scheme of using LDPC codes over GF(4) not only solves the energy balance problem by sharing processing tasks but also increases the data quality.\",\"PeriodicalId\":287478,\"journal\":{\"name\":\"2012 Fourth International Conference on Intelligent Networking and Collaborative Systems\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Intelligent Networking and Collaborative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iNCoS.2012.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iNCoS.2012.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed Image Encoding Scheme Using LDPC Codes over GF(q) on Wireless Sensor Networks
This work reports an image encoding scheme that distributes low-density parity-check (LDPC) encoding over a prime field of order q, GF(q), on a wireless sensor network (WSN). In the scheme, we divide the input data into several small parts, which are then distributed to multiple nodes to perform a LDPC encoding task in a cluster. We conducted extensive computational simulations to verify our method and found that the LDPC codes over GF(4) achieve a fair trade off between the bit error rate (BER) and power consumption criteria. As a result, the proposed scheme of using LDPC codes over GF(4) not only solves the energy balance problem by sharing processing tasks but also increases the data quality.