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An Efficient Lagrangean Relaxation-based Object Tracking Algorithm in Wireless Sensor Networks
No full textIn this paper we propose an energy-efficient object tracking algorithm in wireless sensor networks (WSNs). Such sensor networks have to be designed to achieve energy-efficient object tracking for any given arbitrary topology. We consider in particular the bi-directional moving objects with given frequencies for each pair of sensor nodes and link transmission cost. This problem is formulated as a 0/1 integer-programming problem. A Lagrangean relaxation-based (LR-based) heuristic algorithm is proposed for solving the optimization problem. Experimental results showed that the proposed algorithm achieves near optimization in energy-efficient object tracking. Furthermore, the algorithm is very efficient and scalable in terms of the solution time
A Near-Optimal Time Slot Allocation Algorithm for Wireless Networks that Support Multiple Classes of Traffic
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Large Scale Laboratory Consolidation for Evaluating the Effects of Organic Contents on the Landfill Settlement Characteristics
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