Paper Info
Title
High-accuracy localization via measurements of RSSIs and LED light angles for low-cost WMSNs
Abstract
Wireless multimedia sensor networks (WMSNs), constructed from multiple sensor nodes with cameras, are expected to collect visual data over wide ranges. Existing studies have attempted to estimate the positions of nodes using received signal strength indicators (RSSIs). To improve the accuracy of the estimations of node positions, we propose a new localization method using both RSSI and images sensed by camera sensor nodes for WMSNs. Camera sensor nodes, with positions that are unknown measure the angles of LED light signals emitted by anchor nodes and their RSSI values, Using the RSSI values, nodes can calculate the distances from the anchor nodes. In addition, using the plural angle values, nodes can calculate their own position with high accuracy. We built a small WMSN test bed and measured the average estimation errors. We confirmed that the average estimation errors of a method using only the RSSI values and our proposed method are 1.07 m and 0.29 m, respectively. Therefore, the proposed method could reduce the estimation error by approximately 73%.
Year
DOI
Venue
2017
10.1109/CCWC.2017.7868437
2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC)
Keywords
DocType
ISBN
Wireless sensor networks,Cameras,Localization
Conference
978-1-5090-4229-6
Citations 
PageRank 
References 
1
0.48
6
Authors
2
Name
Order
Citations
PageRank
Yu Kawahama110.82
Ryo Katsuma2205.53