Abstract
An on-demand distributed clustering algorithm based on neural network was proposed. The system parameters and the combined weight for each node were computed, and cluster-heads were chosen using the weighted clustering algorithm, then a training set was created and a neural network was trained. In this algorithm, several system parameters were taken into account, such as the ideal node-degree, the transmission power, the mobility and the battery power of the nodes. The algorithm can be used directly to test whether a node is a cluster-head or not. Moreover, the clusters recreation can be speeded up.
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Foundation item: Project (A1420060159) supported by the National Basic Research of China; project (60234030) supported by the National Natural Science Foundation of China; project(05005A) supported by Youth Foundation of Central South University of Forestry & Technology
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Chen, Ab., Cai, Zx. & Hu, Dw. Clustering in mobile ad hoc network based on neural network. J Cent. South Univ. Technol. 13, 699–702 (2006). https://doi.org/10.1007/s11771-006-0016-6
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DOI: https://doi.org/10.1007/s11771-006-0016-6