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ICASSP
2009
IEEE

Higher dimensional consensus algorithms in sensor networks

10 years 4 months ago
Higher dimensional consensus algorithms in sensor networks
This paper introduces higher dimensional consensus, a framework to capture a number of different, but, related distributed, iterative, linear algorithms of interest in sensor networks. We show that, by suitably choosing the iteration matrix of the higher dimensional consensus, we can capture, besides the standard average-consensus, a broad range of applications, including sensor localization, leader-follower, and distributed Jacobi algorithm. We work with the concept of anchors and explicitly derive the consensus subspace and provide the dimension of the limiting state of the sensors.
Usman A. Khan, Soummya Kar, José M. F. Mour
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Usman A. Khan, Soummya Kar, José M. F. Moura
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