Title: Efficient and robust query processing for mobile wireless sensor networks

Authors: Huilong Huang, John H. Hartman, Terril N. Hurst

Addresses: Department of Computer Science, University of Arizona, Tucson, AZ, USA. ' Department of Computer Science, University of Arizona, Tucson, AZ, USA. ' Performance Simulations Department of Raytheon Missile Systems, Tucson, AZ, USA

Abstract: We present CNFS, an algorithm for efficient and robust query processing for mobile wireless sensor networks. CNFS is a walk-based algorithm that is biased to visit nodes close to the source first. This bias is accomplished by collecting topology information about the network as the search progresses. This information is also used to compute the shortest return path for the query result and to tolerate changes in the network topology caused by node mobility that could otherwise cause the query to fail. As a result, CNFS requires fewer messages to process a query than flooding-based algorithms, while tolerating node mobility better than random walk-based algorithms. Our experiments show that in medium-density networks (average node degree 8.3) CNFS requires about 38% fewer messages than the other algorithms studied, while experiencing significantly fewer query failures than random walk-based algorithms in both sparse and dense networks. CNFS|s success rate is comparable to flooding-based algorithms in dense networks and slightly worse in sparse networks.

Keywords: mobile networks; wireless sensor networks; WSNs; query processing; topology collection; biased walk; wireless networks; node mobility.

DOI: 10.1504/IJSNET.2007.012988

International Journal of Sensor Networks, 2007 Vol.2 No.1/2, pp.99 - 107

Published online: 02 Apr 2007 *

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