DocumentCode :
2342704
Title :
Geographic gossip: efficient aggregation for sensor networks
Author :
Dimakis, Alexandros G. ; Sarwate, Anand D. ; Wainwright, Martin J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA
fYear :
0
fDate :
0-0 0
Firstpage :
69
Lastpage :
76
Abstract :
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 using O(n1.5radic(logn)) radio transmissions, which reduces the energy consumption by a radic(n/logn) factor over standard gossip algorithms
Keywords :
geometry; graph theory; protocols; telecommunication network topology; wireless sensor networks; distributed aggregation; geographic gossip algorithm; network topology; random geometric graph; random walk; resampling method; sensor network; Distributed computing; Energy consumption; Peer to peer computing; Permission; Protocols; Robustness; Solid modeling; Statistics; Temperature sensors; Wireless sensor networks; distributed aggregation; distributed consensus; gossip algorithms; random geometric graphs; sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, 2006. IPSN 2006. The Fifth International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
1-59593-334-4
Type :
conf
DOI :
10.1109/IPSN.2006.244081
Filename :
1662442
Link To Document :
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