{"title":"Speed Up-Greedy Perimeter Stateless Routing Protocol for Wireless Sensor Networks (SU-GPSR)","authors":"Y. Sun, Junpeng Guo, Yuhui Yao","doi":"10.1109/HPSR.2017.7968691","DOIUrl":null,"url":null,"abstract":"This paper proposes a position-based routing scheme called Speed Up-Greedy Perimeter Stateless Routing Protocol for Wireless Sensor Networks (SU-GPSR). The speed up mode works together with greedy mode to provide a solution for data transmission in WSN. Unlike other variants of greedy perimeter stateless routing protocols, SU-GPSR not only embraces both still nodes and mobile nodes in one unified scheme, but provide a complete energy consumption consideration when evaluating the potential next hop. The simulation results reveal that the SU-GPSR outperforms EGPSR and FA-GPSR from various aspects in both dense and loose network size.","PeriodicalId":169489,"journal":{"name":"2017 IEEE 18th International Conference on High Performance Switching and Routing (HPSR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 18th International Conference on High Performance Switching and Routing (HPSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPSR.2017.7968691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
This paper proposes a position-based routing scheme called Speed Up-Greedy Perimeter Stateless Routing Protocol for Wireless Sensor Networks (SU-GPSR). The speed up mode works together with greedy mode to provide a solution for data transmission in WSN. Unlike other variants of greedy perimeter stateless routing protocols, SU-GPSR not only embraces both still nodes and mobile nodes in one unified scheme, but provide a complete energy consumption consideration when evaluating the potential next hop. The simulation results reveal that the SU-GPSR outperforms EGPSR and FA-GPSR from various aspects in both dense and loose network size.