Locality Sensitive Information Brokerage in Distributed Sensor Networks
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In sensor network applications, sensors often need to retrieve data from each other. Information brokerage is a scheme that stores data (or index files of data) at rendezvous nodes, so that every sensor can efficiently finds the data it needs. A very useful property for information brokerage is locality sensitivity, which means that a sensor close the original source of the data should also be able to retrieve the data with a small communication cost. Given the locality sensitivity requirement, the key is to design an information brokerage scheme that minimizes the storage cost. In this paper, we present a locality sensitive information brokerage scheme. It is designed for general locality-sensitive requirements, which include the linear data-retrieval cost (a frequently studied scenario) as a special case. We also prove that for a large class of networks, in the scenario of linear data-retrieval cost, our scheme achieves the asymptotically optimal storage cost. The result also proves the optimality of a few other schemes in the literature. 2008 IEEE.
name of conference
2008 28th IEEE International Conference on Distributed Computing Systems (ICDCS)
2008 The 28th International Conference on Distributed Computing Systems
author list (cited authors)
Hong Lu, .., Jiang, A., & Liu, S.
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