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Topology control with individual node transmission power adjustment in wireless sensor networks has shown to be effective in increasing network capacity and prolonging network lifetime. In this paper, we focus on the strong minimum power restricted topology control problem, which to adjust the limited transmission power for each sensor node to find a power assignment to reserve strong connectivity...
In this paper, we propose a blind binary low-density parity-check (LDPC) encoder identification scheme for M-quadrature amplitude modulation (M-QAM) signals. The expectation-maximization (EM) algorithm is developed to estimate the unknown signal amplitude, noise variance, and phase offset for M-QAM signals. The a posteriori probabilities (APPs) of the coded bits are obtained from the APPs of the transmitted...
For the prevalent research in wireless sensor networks, the main objective is to maximize the lifetime of a sensor network subject to the battery-energy at the sensor nodes. Various heuristic approaches have been proposed to achieve this objective and many simulation results have been presented in the existing literature. However, hardly exists any analytic framework to govern this network lifetime...
One of the crucial constraints for designing a deployment and routing strategy of wireless sensor networks is the limited battery capacity. To achieve energy-efficiency, clustering and cluster-head selection have drawn a lot of research interest recently. In this paper, we propose a novel topology-dependent clustering and cluster-head selection scheme based on the hexagonal tessellation. This new...
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