{"title":"一种新的自组织wsn拓扑发现服务","authors":"S. Al-Omari, Weisong Shi","doi":"10.1109/WASA.2007.138","DOIUrl":null,"url":null,"abstract":"We propose a topology discovery service, which is a network service that promotes the concept of cross-layer design. The topology service, which is the fundamental of any self-organized and self-healing WSN, maintains several topology parameters that describe the sensor field and how the nodes are distributed in the field. To demonstrate the benefits of our service, we design a density-aware GPSR routing protocol (DA-GPSR) to take advantage of the parameters provided by our service and improve the performance of the original GPSR protocol. DA-GPSR uses node density to route around areas with high node density (i.e., crowded areas) and improves end-to-end performance of GPSR. We use TinyOS and TOSSIM for the implementation and simulation, respectively.","PeriodicalId":316831,"journal":{"name":"International Conference on Wireless Algorithms, Systems and Applications (WASA 2007)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Novel Topology Discovery Service for Self-Organized WSNs\",\"authors\":\"S. Al-Omari, Weisong Shi\",\"doi\":\"10.1109/WASA.2007.138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a topology discovery service, which is a network service that promotes the concept of cross-layer design. The topology service, which is the fundamental of any self-organized and self-healing WSN, maintains several topology parameters that describe the sensor field and how the nodes are distributed in the field. To demonstrate the benefits of our service, we design a density-aware GPSR routing protocol (DA-GPSR) to take advantage of the parameters provided by our service and improve the performance of the original GPSR protocol. DA-GPSR uses node density to route around areas with high node density (i.e., crowded areas) and improves end-to-end performance of GPSR. We use TinyOS and TOSSIM for the implementation and simulation, respectively.\",\"PeriodicalId\":316831,\"journal\":{\"name\":\"International Conference on Wireless Algorithms, Systems and Applications (WASA 2007)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Wireless Algorithms, Systems and Applications (WASA 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WASA.2007.138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Wireless Algorithms, Systems and Applications (WASA 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WASA.2007.138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Topology Discovery Service for Self-Organized WSNs
We propose a topology discovery service, which is a network service that promotes the concept of cross-layer design. The topology service, which is the fundamental of any self-organized and self-healing WSN, maintains several topology parameters that describe the sensor field and how the nodes are distributed in the field. To demonstrate the benefits of our service, we design a density-aware GPSR routing protocol (DA-GPSR) to take advantage of the parameters provided by our service and improve the performance of the original GPSR protocol. DA-GPSR uses node density to route around areas with high node density (i.e., crowded areas) and improves end-to-end performance of GPSR. We use TinyOS and TOSSIM for the implementation and simulation, respectively.