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RSS-Based Cooperative Localization and Edge Node Detection
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AI
DOI：10.1109/TVT.2022.3152614.png)
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摘要
En 中文
The ability to determine the location of a sensor node in a wireless sensor network is essential in many applications. We propose a received signal strength (RSS) based cooperative localization technique. The target nodes, whose locations are unknown during the deployment phase, communicate with the anchor nodes (whose locations are known) and the neighboring target nodes to localize themselves. In the proposed technique the target nodes behave as pseudo anchor nodes after they have localized themselves. It is observed that in such cooperative techniques the localization error propagates from one iteration to the next. We mitigate this error propagation by eliminating the network edge nodes from updating their location information after the first iteration. We propose two distributed edge node detection techniques: quadrant method (Quad) and geometric dilution of precision (GDOP) based method. Extensive simulations have been carried out, on uniform anchor and non-uniform network topologies, to analyze the performance of the proposed edge detection techniques and the iterative localization algorithm. The proposed localization algorithm is compared with state of the art localization techniques using simulations as well as experiments, and is shown to achieve improved localization accuracy. The Cramer-Rao lower bound (CRLB) is also derived and used as a performance benchmark.
Keyword:
Location awareness
Image edge detection
Convex functions
Global Positioning System
Wireless sensor networks
Optimization
Linear programming
Distributed localization
received signal strength
edge detection
geometric dilution of precision (GDOP)
Cramer-Rao lower bound (CRLB)
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W