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Engineering Applications of Artificial Intelligence
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We study the deployment of data back-haul nodes for wireless networks with energy constraints. We address the following problem: given the required lifetime of a sensor network, the energy constraint of back-haul nodes, and the area to be covered, what is the minimum number of nodes needed to construct such a back-haul network and what is the corresponding deployment scheme? Finding an efficient deployment scheme involves location management, routing, and power management. We focus on linear networks and formulate a deployment optimization problem. We then propose and analyze a greedy deployment scheme that achieves close to optimal performance. We reveal the closed-form relationship among different design parameters, namely, the number of sensor nodes, the desired lifetime, and the coverage distance. We also study the effect of miscellaneous power consumptions and non-uniform data density, and consider extensions to planar networks