{"title":"A Route Planning Method Using Cost Map for Mobile Sensor Nodes","authors":"M. Nakamiya, Y. Kishino, T. Terada, S. Nishio","doi":"10.1109/ISWPC.2007.342595","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a route planning method for mobile sensor nodes using cost map. The proposed method achieves novel route planning that can solve several practical problems from previous works: the limitations of sensing ranges, obstacles on the node's routes, and restriction of their movements. This method can determine the route that has the lowest power consumption. We also propose a sensing area defining method for dealing with many kinds of sensors. Furthermore, we compared the proposed method to A*algorithm, a well-known route planning algorithm. We implemented a prototype of the sensor node to verify our algorithm in a real environment.","PeriodicalId":403213,"journal":{"name":"2007 2nd International Symposium on Wireless Pervasive Computing","volume":"402 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Symposium on Wireless Pervasive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWPC.2007.342595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper, we propose a route planning method for mobile sensor nodes using cost map. The proposed method achieves novel route planning that can solve several practical problems from previous works: the limitations of sensing ranges, obstacles on the node's routes, and restriction of their movements. This method can determine the route that has the lowest power consumption. We also propose a sensing area defining method for dealing with many kinds of sensors. Furthermore, we compared the proposed method to A*algorithm, a well-known route planning algorithm. We implemented a prototype of the sensor node to verify our algorithm in a real environment.