Anchor-Free Distributed Localization in Sensor Networks

By N. Priyantha, Hari Balakrishnan, Erik D. Demaine, Seth J. Teller. 2003

550 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/684d4d8522a525bb0b9c88b76f52381b706f98b6

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Citations in the corpus

Mobile-assisted localization in wireless sensor networks (2005, methodology): “As a solution, we have developed an anchor-free localization algorithm called AFL that is especially well-suited to low connectivity graphs [6].”
Nonparametric belief propagation for self-localization of sensor networks (2005, methodology): “A large number of methods have been previously proposed to estimate sensor locations [7], [9]–[13].”
Localization Algorithms in Wireless Sensor Networks: Current Approaches and Future Challenges (2010, background): “Some of the proposals [12], [13] in this category are discussed in greater details.”
Cooperative Localization in Wireless Networks (2009, background): “Relative localization refers to localization in the context of one’s neighbors or local environment [ 54 ], [76]; hence, the coordinate system can vary from node to node.”
The Cricket indoor location system (2005, methodology): “We have developed AFL, an anchor-free distributed localization algorithm, that enables beacons to configure themselves with a valid coordinate assignment [70].”
Walkie-Markie: Indoor Pathway Mapping Made Easy (2013, methodology): “Using direction information in addition to distance is fundamental, because it can largely avoid the “foldfreedom” problem of the embedding process [25], and dismiss flip and rotational ambiguities.”
Robust distributed network localization with noisy range measurements (2004, methodology): “eliminate the dependence on anchor nodes by using communication hops to estimate the network’s global layout, then using force-based relaxation to optimize this layout [15].”
Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs (2005, background): “Another fully distributed and beacon-free localization algorithm, proposed in [51], operates in two stages.”
Vivaldi: a decentralized network coordinate system (2004, background): “[21] show that sampling only nearby (low-latency) nodes can lead to coordinates that preserve local relationships but are far from correct at a global scale.”