I. Howitt, John C. Stamper, A. Raja, Verghese Mappillai
{"title":"Predictive protocol management with contingency planning for wireless sensor networks","authors":"I. Howitt, John C. Stamper, A. Raja, Verghese Mappillai","doi":"10.1109/MAHSS.2005.1542790","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks (WSN) are a subset of wireless networking applications focused on enabling sensor and actuator connectivity without the use of wires. Energy consumption among the wireless devices participating in these networks is a major constraint on the deployment for a broad range of applications enabled by WSNs. This paper introduces, for the first time, a novel methodology based on predictive protocol management with contingency planning (PPM and CP). This approach allows efficient update of the WSN operational mode in order to optimize the energy utilization based on the time varying characteristics of the radio-frequency (RF) in which the network operates","PeriodicalId":268267,"journal":{"name":"IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAHSS.2005.1542790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Wireless sensor networks (WSN) are a subset of wireless networking applications focused on enabling sensor and actuator connectivity without the use of wires. Energy consumption among the wireless devices participating in these networks is a major constraint on the deployment for a broad range of applications enabled by WSNs. This paper introduces, for the first time, a novel methodology based on predictive protocol management with contingency planning (PPM and CP). This approach allows efficient update of the WSN operational mode in order to optimize the energy utilization based on the time varying characteristics of the radio-frequency (RF) in which the network operates