Title | ||
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Multiple Transmitter Localization and Whitespace Identification Using Randomly Deployed Binary Sensors. |
Abstract | ||
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This paper analyzes the limiting behavior of the uncertainty in localizing an unknown number of transmitters within a given geographical area. The set-up consists of ${n}$ binary sensors that are deployed uniformly at random locations within the area. These sensors detect for the presence of a transmitter within their radio range, and their individual decisions are combined to estimate the numbe... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TCCN.2016.2634000 | IEEE Transactions on Cognitive Communications and Networking |
Keywords | Field | DocType |
Sensors,Radio transmitters,Cognitive radio,Simulation,Target tracking,Graphical models | Transmitter,Topology,Binary sensors,Computer science,Real-time computing,Whitespace,Graphical model,Statistics,Scaling,Approximation error,Cognitive radio,Special case | Journal |
Volume | Issue | Citations |
2 | 4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rahul Vaze | 1 | 463 | 45.64 |
Chandra R. Murthy | 2 | 542 | 75.73 |