{"title":"Detection quality aware deployment scheme with heterogeneous sensors","authors":"Ran Bi, Xiaolin Fang, Xu Zheng, Guozhen Tan","doi":"10.1109/HAVE.2017.8240346","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks enable versatile applications with different types of sensors. Multi-modal data fusion from heterogeneous sensors to achieve better inference and perception for the physical world. Many factors enable sensor data fusion a challenge task, among which nodes deployment is one of the fundamental issues. This paper investigates the problem of seeking optimal deployment scheme for heterogenous sensors with a limited constraint budget. The object of optimizing deployment scheme is to maximize the summation of the detection quality within the given cost constraint. This is a novel deployment problem, since existing works overlook the detection quality and statistical properties of random deployment. The proposed problem is proved to be NP-Complete, and a greedy based polynomial-time algorithm with 1 + approximation ratio is given. Experimental results show that the proposed algorithm has better performance.","PeriodicalId":147917,"journal":{"name":"2017 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HAVE.2017.8240346","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 enable versatile applications with different types of sensors. Multi-modal data fusion from heterogeneous sensors to achieve better inference and perception for the physical world. Many factors enable sensor data fusion a challenge task, among which nodes deployment is one of the fundamental issues. This paper investigates the problem of seeking optimal deployment scheme for heterogenous sensors with a limited constraint budget. The object of optimizing deployment scheme is to maximize the summation of the detection quality within the given cost constraint. This is a novel deployment problem, since existing works overlook the detection quality and statistical properties of random deployment. The proposed problem is proved to be NP-Complete, and a greedy based polynomial-time algorithm with 1 + approximation ratio is given. Experimental results show that the proposed algorithm has better performance.