{"title":"A Simple Grid-Based Localization Technique in Wireless Sensor Networks for Forest Fire Detection","authors":"Thuykhanh Le, P. Chong, Xue Jun Li, W. Y. Leong","doi":"10.1109/ICCSN.2010.108","DOIUrl":null,"url":null,"abstract":"This research aims to develop a new sensor-based localization technique which is exclusively used for forest fire detecting systems. Our algorithm addresses three key criteria of forest fire detecting systems deployed in nature, which are: low complexity, high efficiency and low power consumption, by the 2 features: estimating a grid-based output and adopting an event-triggering mechanism. The algorithm’s low complexity and high efficiency is indicated by its average-case running time of O(N_a ) - where N_a is the number of anchors. Despite of being simple, our proposed technique can achieve a good performance in terms of outputted region’s area, such as: More than 60% of inputs can result in a small-enough region-based output for monitored fields with dimension up to 6 times of sensors’ transmission range.","PeriodicalId":255246,"journal":{"name":"2010 Second International Conference on Communication Software and Networks","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Communication Software and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2010.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This research aims to develop a new sensor-based localization technique which is exclusively used for forest fire detecting systems. Our algorithm addresses three key criteria of forest fire detecting systems deployed in nature, which are: low complexity, high efficiency and low power consumption, by the 2 features: estimating a grid-based output and adopting an event-triggering mechanism. The algorithm’s low complexity and high efficiency is indicated by its average-case running time of O(N_a ) - where N_a is the number of anchors. Despite of being simple, our proposed technique can achieve a good performance in terms of outputted region’s area, such as: More than 60% of inputs can result in a small-enough region-based output for monitored fields with dimension up to 6 times of sensors’ transmission range.