Network Navigation: Theory and Interpretation

Real-time and reliable location information of mobile nodes is a key enabler for many emerging wireless network applications. Such information can be obtained via network navigation, a new paradigm in which nodes exploit both spatial and temporal cooperation to infer their positions. In this paper,...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2012-10, Vol.30 (9), p.1823-1834
Main Authors: Yuan Shen, Mazuelas, S., Win, M. Z.
Format: Article
Language:English
Subjects:
Bayesian methods
Cooperative network
Cramer-Rao bound (CRB)
equivalent Fisher information (EFI)
Hidden Markov models
localization
Navigation
Position measurement
Time measurement
Vectors
Velocity measurement
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Summary:Real-time and reliable location information of mobile nodes is a key enabler for many emerging wireless network applications. Such information can be obtained via network navigation, a new paradigm in which nodes exploit both spatial and temporal cooperation to infer their positions. In this paper, we establish a theoretical foundation for network navigation and determine the fundamental limits of navigation accuracy using equivalent Fisher information analysis. We then introduce the notion of carry-over information and provide a geometrical interpretation for the evolution of navigation information. Our framework unifies the navigation information obtained from spatial and temporal cooperation, leading to a deep understanding of information evolution and cooperation benefits in navigation networks.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2012.121028