DocumentCode :
823966
Title :
Information Density Estimation for Content Retrieval in MANETs
Author :
Fiore, Marco ; Casetti, Claudio ; Chiasserini, Carla-Fabiana
Author_Institution :
Dipt. di Elettron., Politec. di Torino, Turin
Volume :
8
Issue :
3
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
289
Lastpage :
303
Abstract :
The paper focuses on a cooperative environment in wireless ad hoc networks, where mobile nodes share information in a peer-to-peer fashion. Nodes follow a pure peer-to-peer approach (i.e., without the intervention of servers), thus requiring an efficient query/response propagation algorithm to prevent network congestion. The main contribution of the paper is the proposal of a novel solution, called Eureka, that identifies the regions of the network where the required information is more likely to be stored and steers the queries toward those regions. To discriminate among regions, the concept of information density is introduced, along with a procedure that allows nodes its estimation. Eureka does not require the use of satellite positioning systems, and proves to be very effective in both vehicular and pedestrian environments.
Keywords :
ad hoc networks; mobile radio; Eureka; MANET; content retrieval; efficient query-response propagation algorithm; information density estimation; mobile ad hoc networks; peer-to-peer approach; satellite positioning systems; wireless ad hoc networks; Communication/Networking and Information Technology; Comp; Computer Systems Organization; Mobile Computing; Mobile communication systems; Wireless communication;
fLanguage :
English
Journal_Title :
Mobile Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1233
Type :
jour
DOI :
10.1109/TMC.2008.110
Filename :
4586375
Link To Document :
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