S. Ghosh

University of Louisiana at Lafayette, Lafayette, Louisiana, United States

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Publications (2)0 Total impact

  • S. Abdelhak · C.S. Gurram · S. Ghosh · M. Bayoumi
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    ABSTRACT: 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 work proposes EBSEL, an energy-balancing task scheduling and allocation heuristic whose main purpose is to extend the network's lifetime, through energy balancing. Balancing the energy consumption among the nodes can help avoid the disintegration of the network where some nodes die unnecessarily, while others still have high energy reserve. EBSEL was extensively simulated on random task graphs and on a task graph of a real-world application. Compared to related work, EBSEL achieved more than 50% increase in lifetime and up to 5% energy savings per iteration.
    Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest Symposium on; 09/2010
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    ABSTRACT: 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 through a temporary code assigned to it. The proposed scheme achieves 4x speedup in computation, and decreases the average energy consumption by a factor of 3.79.
    Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest Symposium on; 01/2010