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Extending the wireless sensor network's lifetime has been the aim of several research efforts. Distributed in-network processing arises as a viable solution to extend the network's lifetime. It avoids assigning heavy computations to a single node which might otherwise lead to its significant energy depletion. Task scheduling and allocation play a major role in the efficiency of the distribution. This...
In this work we are proposing a light-weight energy-aware distributed LU decomposition on energy-constrained wireless sensor networks (WSN). This work builds a complete scheme for the distribution; it involves an efficient block-based distribution of the LU decomposition, a simple energy-aware task mapping, a light-weight TDMA transmission schedule where each node can infer its transmission time slot...
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