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Wireless sensor networks (WSN) allow, thanks to the use of small wireless devices known as sensor nodes, the monitorization of wide and remote areas with precision and live-ness unseen to the date without the intervention of a human operator. When a WSN is being deployed, there are two major concerns: the coverage achieved has to be the largest possible, and the lifetime of the network has to be the longest possible. Since the lifetime of a WSN is determined by the power spent by any node in the network, which in turn is dominated by the power spent for transmissions, a way to increase the lifetime is to minimize the transmission power in any node of the network. We propose in this work the use of a memetic simulated annealing (MSA) to solve a newly defined instance for the problem of WSN deployment (a.k.a. WSN layout problem) in such a way that the coverage and lifetime are maximized. The results obtained will speak for the technique's efficiency.