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CORR
2006
Springer

Geographic Gossip: Efficient Aggregation for Sensor Networks

13 years 3 months ago
Geographic Gossip: Efficient Aggregation for Sensor Networks
Gossip algorithms for aggregation have recently received significant attention for sensor network applications because of their simplicity and robustness in noisy and uncertain environments. However, gossip algorithms can waste significant energy by essentially passing around redundant information multiple times. For realistic sensor network model topologies like grids and random geometric graphs, the inefficiency of gossip schemes is caused by slow mixing times of random walks on those graphs. We propose and analyze an alternative gossiping scheme that exploits geographic information. By utilizing a simple resampling method, we can demonstrate substantial gains over previously proposed gossip protocols. In particular, for random geometric graphs, our algorithm computes the true average to accuracy 1/na
Alexandros G. Dimakis, Anand D. Sarwate, Martin J.
Added 11 Dec 2010
Updated 11 Dec 2010
Type Journal
Year 2006
Where CORR
Authors Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
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