Abstract
This paper presents a hybrid approximation scheme for the Max-SNP-complete minimum-cost target coverage problem in wireless sensor networks. LP-rounding and set-cover selection are polynomial-time approximations for this problem. Our hybrid scheme combines these two methods using a crafted convex combination. We show that the hybrid scheme with appropriately chosen coefficients produces much better approximations than either of the two methods used alone. We show that, through a large number of numerical experiments, the hybrid scheme never exceeds an approximation ratio of 1.14, providing up to 14.86% improvement over the best approximations previously known.
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Fang, Z., Wang, J. Hybrid approximation for minimum-cost target coverage in wireless sensor networks. Optim Lett 4, 371–381 (2010). https://doi.org/10.1007/s11590-009-0167-0
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DOI: https://doi.org/10.1007/s11590-009-0167-0