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- W2148815582 abstract "In this paper, we consider distributed estimation in energy-limited wireless sensor networks from lifetime-distortion perspective, where the goal is to maximize the network lifetime for a given distortion requirement. To take into account both local quantization and multi-hop transmission, which are essential to save transmission energy and thus prolong the network lifetime, the network lifetime maximization problem is formulated as a nonlinear programming (NLP) problem, where there are three factors needed to be optimized jointly: (i) source coding at each sensor, (ii) source throughput of each sensor, and (iii) multi-hop routing path. Furthermore, we show that this NLP problem can be decoupled without loss of optimality and reformulated as a linear programming (LP) problem. The proposed algorithm is optimal and the simulation results show that a significant gain is achieved by the proposed algorithm compared with heuristic methods." @default.
- W2148815582 created "2016-06-24" @default.
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- W2148815582 date "2008-08-01" @default.
- W2148815582 modified "2023-09-29" @default.
- W2148815582 title "Maximizing Network Lifetime for Estimation in Multi-Hop Wireless Sensor Networks" @default.
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- W2148815582 doi "https://doi.org/10.1109/icccn.2008.ecp.150" @default.
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