The task of efficient distributed information retrieval has been one of the most serious challenges in the history of information technology. With the spread of advanced mobile devices, the demand for an efficient file sharing protocol moved also into the mobile world. However, the mobile networks have special characteristics that should be taken into account when designing efficient resource sharing protocols for this area.
The performance of the Peer-to-Peer protocols can be increased with the use of semantic information gathered from the shared files. However, as the optimal solution for an unstructured network requires a full knowledge of the files available in the network, certain kinds of heuristic methods should be designed to increase the probability of successful queries, without large protocol overhead and network traffic. In this chapter, we will present how the network topology can be quickly improved to increase hit rate with an appropriate protocol and algorithm using Bayesian process based on local decisions that infers from the fields of interest owned by the nodes.
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Forstner, B., Csúcs, G., Kelényi, I., Charaf, H. (2007). Peer-to-Peer Information Retrieval Based on Fields of Interest. In: Fitzek, F.H.P., Katz, M.D. (eds) Cognitive Wireless Networks. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5979-7_12
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