Abstract:The algorithm of artificial bee colony has been widely applied in optimization issues. The pattern of this algorithm has been derived from the intelligent behavior of bees in the nature. The aim of this paper is to present a model for classification of binary problems through using data mining techniques, and on the basis of artificial bee colony algorithm. In this paper, breast cancer data that has been presented by Wisconsin University to investigate and evaluate the proposed method has been used and applied . With regard to the obtained results, it has been shown that this algorithm has a considerable and important function.
This paper presents a new basic clustering algorithm to increase the wireless sensor networks energy and longevity, efficiently. In each period, cluster heads are selected based on the maximum energy and the minimum distance through the nodes. Therefore, the protocol to obtain good performance in terms of longevity is achieved by balancing the energy load among all nodes. The simulation results obtained from the MATLAB software indicate that the suggested approach is effective in prolonging the network longevity.
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