{"title":"一种用于医疗保健应用的能量收集、动态和可靠的无线体域网络模型部署","authors":"Hassine Moungla, N. Touati, A. Mehaoua","doi":"10.1109/HPCSim.2012.6266953","DOIUrl":null,"url":null,"abstract":"This paper presents our conducting research and describes a new optimal deployment model for medical wireless body area network (WBAN) sensor devices (without mobility) and the relevant possible trade-offs between coverage, connectivity and network life time. We also integrate the effect of interference in wireless medium, and try to devise many-to-one and many-to-many model, that minimize the interference throughout the network and thus increase signal quality of wireless communication. The decrease in interference also facilitates energy efficiency, by increasing reliability, i.e. success ratio of wireless links. Topologies generated from our proposed model exhibit minimum energy consumption at maximum sensing coverage. The results show that significant improvements of initial deployments using feasible and cost-efficient solutions are possible. Our model leads to significantly optimized initial network deployments which can be subsequently used with other existing optimization techniques in literature. Overall operational lifetime and sensing coverage of WBSNs are strongly improved by our suggested deployment model.","PeriodicalId":428764,"journal":{"name":"2012 International Conference on High Performance Computing & Simulation (HPCS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A power harvesting, dynamic and reliable wireless body area networks model deployment for health care applications\",\"authors\":\"Hassine Moungla, N. Touati, A. Mehaoua\",\"doi\":\"10.1109/HPCSim.2012.6266953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents our conducting research and describes a new optimal deployment model for medical wireless body area network (WBAN) sensor devices (without mobility) and the relevant possible trade-offs between coverage, connectivity and network life time. We also integrate the effect of interference in wireless medium, and try to devise many-to-one and many-to-many model, that minimize the interference throughout the network and thus increase signal quality of wireless communication. The decrease in interference also facilitates energy efficiency, by increasing reliability, i.e. success ratio of wireless links. Topologies generated from our proposed model exhibit minimum energy consumption at maximum sensing coverage. The results show that significant improvements of initial deployments using feasible and cost-efficient solutions are possible. Our model leads to significantly optimized initial network deployments which can be subsequently used with other existing optimization techniques in literature. Overall operational lifetime and sensing coverage of WBSNs are strongly improved by our suggested deployment model.\",\"PeriodicalId\":428764,\"journal\":{\"name\":\"2012 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSim.2012.6266953\",\"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 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2012.6266953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A power harvesting, dynamic and reliable wireless body area networks model deployment for health care applications
This paper presents our conducting research and describes a new optimal deployment model for medical wireless body area network (WBAN) sensor devices (without mobility) and the relevant possible trade-offs between coverage, connectivity and network life time. We also integrate the effect of interference in wireless medium, and try to devise many-to-one and many-to-many model, that minimize the interference throughout the network and thus increase signal quality of wireless communication. The decrease in interference also facilitates energy efficiency, by increasing reliability, i.e. success ratio of wireless links. Topologies generated from our proposed model exhibit minimum energy consumption at maximum sensing coverage. The results show that significant improvements of initial deployments using feasible and cost-efficient solutions are possible. Our model leads to significantly optimized initial network deployments which can be subsequently used with other existing optimization techniques in literature. Overall operational lifetime and sensing coverage of WBSNs are strongly improved by our suggested deployment model.