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Implementing energy-efficient tracking in a sensor network

An energy efficient sleep control algorithm is developed for application to the tracking problem in a wireless sensor network. This simple algorithm applies intuition gained by examining a more complicated dynamic programming solution approximation. The algorithm is shown through simulation analysis to exhibit improved efficiency beyond simple sensor duty cycling, very nearly achieving the effectiveness of the original dynamic programming solution. Additionally a testbed is developed specifically to evaluate the feasibility of implementation of the algorithm on a physical system. The algorithm is shown to work on this testbed, successfully tracking a light source in the network.