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In this paper a robust distributed and localized algorithm is presented that sensors incrementally adjusts their transmission range by collaborating with other neighbors. Normally, WSNs are set up in adverse environmental conditions, so robustness is one of the most important objectives of the WSN algorithms. This paper addresses the problem of power control in a heterogeneous wireless network which...
In this paper, we propose an efficient routing algorithm for large scale cluster-based wireless sensor networks. The technique uses two routing levels. In the first level (intra-cluster), cluster members send data directly to their cluster head. In the second level (inter-cluster), the cluster heads use ant colony optimization (ACO) algorithm, which is a biologically inspired paradigm for optimization...
In this paper, we propose an efficient centralized clustering algorithm for wireless sensor networks. The algorithm which organizes the sensors into clusters uses memetic algorithm to determine cluster heads and sizes. Memetic algorithms which are similar to genetic algorithms are population-based heuristic search approaches for optimization problems. To assess the efficiency of the proposed clustering...
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