Greedy Probabilistic Approach for Localization in IoT Context

被引:0
|
作者
Ahriz, Iness [1 ]
Le Ruyet, Didier [1 ]
机构
[1] CNAM, LAETITIA CEDRIC Lab, 292 Rue St Martin, F-75141 Paris, France
关键词
localization; wireless sensor network; internet of things; SENSOR NETWORKS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper we propose a greedy probabilistic approach for localization in Wireless Sensors Network (WSN). This topic has received much attention since the WSN are considered as the basis in the emerging area of Internet of Things (IoT). The proposed method aims at increasing the performance of the grid based Compressed Sensing (CS) localization algorithm. This latter is based on the sparse nature of localization problem and select one grid point as user position. The grid point is selected based on correlation property. We propose in this paper to select a grid point based on probabilistic approach where grid point probabilities are calculated from the received signal strength. In a second step we propose to combine the grid positions weighted with their probabilities. The performance of the proposed approaches is evaluated through simulations and compared to CS algorithm results.
引用
收藏
页数:4
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