Neural-based approach for localization of sensors in indoor environment

被引：1
作者：
Nazish Irfan
Miodrag Bolic
Mustapha C. E. Yagoub
Venkataraman Narasimhan
机构：
[1] University of Ottawa,School of Information Technology and Engineering
[2] Norleaf Networks Gatineau,undefined
来源：
Telecommunication Systems | 2010年 / 44卷
关键词：
Localization; Wireless sensor networks; Neural networks; Mean position error;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Location of wireless sensor nodes is an important piece of information for many applications. There are many algorithms present in literature based on Received Signal Strength (RSSI) to estimate the location. However the radio signal propagation is easily influenced by diffraction, reflection and scattering. Therefore algorithms purely based on RSSI may not accurately predict the position of the node.
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页码：149 / 158
页数：9
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