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A large number of sensors networked together form self-organizing pervasive systems that provide the basis for implementation of several applications involving distributed, collaborative computations. Energy dissipation is a critical issue for these networks, as their life-time is limited by the battery power of the sensors. In this paper, the authors focus on design of an energy-balanced, energy-optimal algorithm for sorting in a single-hop sensor network. Energy optimality implies that the overall energy dissipation in the system is minimized. Energy-balancedness ensures that all the sensors spend asymptotically equivalent amount of energy in the system. Uniform energy dissipation is desirable as it enables the network to remain fully functional for the maximum time.
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