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Energy-Balanced Dispatch of Mobile Sensors in a Hybrid Wireless Sensor Network

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Fig. 1. Comparison of dispatch solutions: (a) the network configuration, (b) the greedy approach, and (c) the energy-balanced approach.
Fig. 2. Reduction of the partition problem to the sensor dispatch decision problem.
Fig. 3 gives an example, where  ¼ 2. The energy cost to move each mobile sensor to each event location is given in Fig
Fig. 4a are far away from other locations, and thus, considered sparse. Therefore, we propose a MaxMin  cluster-ing scheme that is based on the result of K-means and then iteratively split and merge some clusters to obtain better clustering
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