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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.
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Yuan Shen
Pingdingshan University
Santiago Mazuelas
Basque Center for Applied Mathematics
Moe Z. Win
Decision Systems (United States)
IEEE Journal on Selected Areas in Communications
Massachusetts Institute of Technology
Decision Systems (United States)
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Shen et al. (Mon,) studied this question.
synapsesocial.com/papers/6a20e13bf76165bc1becc095 — DOI: https://doi.org/10.1109/jsac.2012.121028
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