{"title":"基于块分割余弦变换(BFCT)的无线多媒体传感器网络视频压缩技术","authors":"Pulakesh Roy, Dibyendu Roy, Rajib Banerjee","doi":"10.1109/NCETSTEA48365.2020.9119930","DOIUrl":null,"url":null,"abstract":"The main challenge of Wireless multimedia sensor network (WMSN) is lack of power of communication, bandwidth and storage. In this paper we propose a new technique of transmitting sensed video in reduced format with a newly proposed Block based Fragmented Cosine Transform (BFCT). The scheme works by modifying DCT based operation which is computationally intensive in WMSN. The correlation among the frames of the video is measured followed by applying BFCT over only the sorted frames. As the technique is applied over an array of sensor so a newly designed dedicated routing technique is also employed along with BFCT. This helps in reducing the amount of transmitted data and hence saving communication energy. The performance of the scheme is measured by energy analysis, peak signal to noise ratio (PSNR) followed by statistical analysis. The efficacy of the scheme is judged through simulation results based on energy and acceptable reconstruction quality.","PeriodicalId":267921,"journal":{"name":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Proficient Video Compression using Block based Fragmented Cosine Transform (BFCT) in Wireless Multimedia Sensor Network (WMSN)\",\"authors\":\"Pulakesh Roy, Dibyendu Roy, Rajib Banerjee\",\"doi\":\"10.1109/NCETSTEA48365.2020.9119930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main challenge of Wireless multimedia sensor network (WMSN) is lack of power of communication, bandwidth and storage. In this paper we propose a new technique of transmitting sensed video in reduced format with a newly proposed Block based Fragmented Cosine Transform (BFCT). The scheme works by modifying DCT based operation which is computationally intensive in WMSN. The correlation among the frames of the video is measured followed by applying BFCT over only the sorted frames. As the technique is applied over an array of sensor so a newly designed dedicated routing technique is also employed along with BFCT. This helps in reducing the amount of transmitted data and hence saving communication energy. The performance of the scheme is measured by energy analysis, peak signal to noise ratio (PSNR) followed by statistical analysis. The efficacy of the scheme is judged through simulation results based on energy and acceptable reconstruction quality.\",\"PeriodicalId\":267921,\"journal\":{\"name\":\"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCETSTEA48365.2020.9119930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCETSTEA48365.2020.9119930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Proficient Video Compression using Block based Fragmented Cosine Transform (BFCT) in Wireless Multimedia Sensor Network (WMSN)
The main challenge of Wireless multimedia sensor network (WMSN) is lack of power of communication, bandwidth and storage. In this paper we propose a new technique of transmitting sensed video in reduced format with a newly proposed Block based Fragmented Cosine Transform (BFCT). The scheme works by modifying DCT based operation which is computationally intensive in WMSN. The correlation among the frames of the video is measured followed by applying BFCT over only the sorted frames. As the technique is applied over an array of sensor so a newly designed dedicated routing technique is also employed along with BFCT. This helps in reducing the amount of transmitted data and hence saving communication energy. The performance of the scheme is measured by energy analysis, peak signal to noise ratio (PSNR) followed by statistical analysis. The efficacy of the scheme is judged through simulation results based on energy and acceptable reconstruction quality.