Understanding the efficiency of cooperation in location-aware wireless networks

Localization techniques are crucial for wireless networks in the age of big data. Exploiting pairwise measurements between agents, the scheme of cooperative localization yield superior performance and has been discussed extensively. However, despite its great significance for network design, the eff...

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Bibliographic Details
Published in2017 IEEE International Conference on Communications Workshops (ICC Workshops) pp. 828 - 833
Main Authors Yifeng Xiong, Jingming Kuang, Yuan Feng, Hua Wang, Nan Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2017
Subjects
Big Data
Conferences
cooperative dilution of information
Cooperative localization
Couplings
Cramér-Rao bound (CRB)
Distance measurement
efficiency of cooperation
Matrix decomposition
Navigation
Wireless networks
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Summary:Localization techniques are crucial for wireless networks in the age of big data. Exploiting pairwise measurements between agents, the scheme of cooperative localization yield superior performance and has been discussed extensively. However, despite its great significance for network design, the efficiency of cooperation remains an open topic. By introducing a decomposition of the Fisher information matrix (FIM), this paper gives a natural definition of cooperation efficiency, and relate it to the information coupling among nodes. Geometric interpretations of this decomposition is given and illustrated by numerical examples.
ISSN:2474-9133
DOI:10.1109/ICCW.2017.7962761