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- W2040417917 abstract "This paper addresses the minimum energy network connectivity (MENC) problem. This problem consists of minimizing the transmission power of each sensor in a wireless network, which results in minimizing the energy consumption of the network, while keeping its global connectivity at the same time. The MENC problem is NP-hard in the strong sense. The NP-hardness of the problem motivates us to develop a heuristic algorithm based on the Particle Swarm Optimization to obtain near-optimal solutions. The proposed heuristic is tested on a set of 50 instances of the problem. The computational results show that our approach is a promising heuristic and it performs better than the classical minimum spanning tree (MST) heuristic." @default.
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- W2040417917 date "2011-11-01" @default.
- W2040417917 modified "2023-09-24" @default.
- W2040417917 title "A Particle Swarm Optimization Algorithm for Topology Control in Wireless Sensor Networks" @default.
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- W2040417917 doi "https://doi.org/10.1109/sccc.2011.2" @default.
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