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Information Density Estimation for Content Retrieval in MANETs
March 2009 (vol. 8 no. 3)
pp. 289-303
Marco Fiore, Politecnico di Torino, Torino
Claudio Casetti, Politecnico di Torino, Torino
Carla-Fabiana Chiasserini, Politecnico di Torino, Torino
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.

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Index Terms:
Mobile communication systems, Mobile Computing, Communication/Networking and Information Technology, Comp, Wireless communication, Computer Systems Organization
Marco Fiore, Claudio Casetti, Carla-Fabiana Chiasserini, "Information Density Estimation for Content Retrieval in MANETs," IEEE Transactions on Mobile Computing, vol. 8, no. 3, pp. 289-303, March 2009, doi:10.1109/TMC.2008.110
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