GPS-less low-cost outdoor localization for very small devices

By Nirupama Bulusu, John S. Heidemann, Deborah Estrin. IEEE wireless communications, 2000

4,046 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/15f705d41cfb39860c33d15435defaa4c6469d29

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Ocean Engineering

Citations in the corpus

Indoor localization without the pain (2010, methodology): “There also exist more approximate methods such as [14], which uses the connectivity graph among the nodes to perform localization in outdoor environments.”
On distributed fault-tolerant detection in wireless sensor networks (2006, methodology): “We also assume that each node could determine its location through beacon positioning mechanisms [9] or by exploiting the Global Positioning System (GPS).”
Routing techniques in wireless sensor networks: a survey (2004, methodology): “• Time and location synchronization: energy-efficient techniques for associating time and spatial coordinates with data to support collaborative processing are also required [20].”
DV Based Positioning in Ad Hoc Networks (2003, background): “Bulusu et al. [3] present a position system based on an uniform grid of powerful (compared to the nodes) basestations, which serves as landmark mesh.”
Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications (2005, background): “Nodes may acquire their location through GPS or any number of localization techniques [7].”
Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks (2003, background): “The network can use location services such as [4] and [1] to estimate the locations of the individual nodes.”
A Theory of Network Localization (2006, neutral): “The previous approaches can be classified into two types: coarse-grained [10], [11], [28], [42], [50], [57] and fine-grained [1], [7], [12], [18], [37], [44], [46], [47], [49], [52], [53], [56].”
Attack-resistant location estimation in sensor networks (2005, background): “Both methods can survive malicious attacks even if the attacks bypass authentication, provided that the benign beacon signals constitute the majority of the consistent beacon signals.”
Localization algorithms of Wireless Sensor Networks: a survey (2011, methodology): “Simulation results show the localization error of tetrahedral algorithm is higher than that of traditional centroid algorithm [ 4 ].”
Distributed detection of node replication attacks in sensor networks (2005, background): “Numerous researchers have proposed schemes for determining node location, using everything from highly abstract graph embeddings [28], to connectivity information [8], to powerful beacon nodes placed on the perimeter of the network [5].”
Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs (2005, background): “Sensors locate themselves at the centroid of the locations of beacons they can detect [55].”
Localization with mobile anchor points in wireless sensor networks (2005, background): “Belusu and Heidemann introduced Centroid formula to calculate nodes' locations based on received beacons containing reference points' positions [21].”
Wireless sensor network localization techniques (2007, background): “[86] and Niculescu and Nath [87] developed distributed connectivity-based localization algorithms; Shang et al.”