Indoor Localization for Wireless Sensor Networks
Date Issued
2007
Date
2007
Author(s)
Yang, Chin-Hsiang
DOI
en-US
Abstract
Localization is an important topic in wireless sensor networks because lots of the applications need this information to perform normally, such as a surveillance system, a light control system, or a fire alarm system. One of the biggest problems in indoor localization is the complex propagation characteristics of the indoor environment. We find that most of the current works solve this by giving lots of prior-knowledge to some specific nodes in the network. Although in this way we can get a very accurate localization result, this kind of schemes needs lots of efforts to make the algorithm perform well. In this work, we propose an indoor localization algorithm for wireless sensor networks which needs few prior-knowledge. It uses the characteristics of the obstructions in the environment to group nodes in the network. Sensor nodes first locally calculate their position, and then we combine each group together and get good localization accuracy.
In this work, we use C language to write the whole simulation. We observe the performance of the algorithm in different noise power and compare to other indoor localization algorithms. We also try to explain the limitation of the algorithm and the performance of it in some special cases.
Subjects
無線感測器網路
定位
室內
接收信號強度指示器
分群
Wireless sensor network (WSN)
localization
indoor
RSSI
clustering
Type
thesis
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