CINXE.COM

TY - JFULL AU - Z. Pooranian and A. Barati and A. Movaghar PY - 2011/2/ TI - Queen-bee Algorithm for Energy Efficient Clusters in Wireless Sensor Networks T2 - International Journal of Electronics and Communication Engineering SP - 101 EP - 105 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/6064 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 49, 2011 N2 - Wireless sensor networks include small nodes which have sensing ability; calculation and connection extend themselves everywhere soon. Such networks have source limitation on connection, calculation and energy consumption. So, since the nodes have limited energy in sensor networks, the optimized energy consumption in these networks is of more importance and has created many challenges. The previous works have shown that by organizing the network nodes in a number of clusters, the energy consumption could be reduced considerably. So the lifetime of the network would be increased. In this paper, we used the Queen-bee algorithm to create energy efficient clusters in wireless sensor networks. The Queen-bee (QB) is similar to nature in that the queen-bee plays a major role in reproduction process. The QB is simulated with J-sim simulator. The results of the simulation showed that the clustering by the QB algorithm decreases the energy consumption with regard to the other existing algorithms and increases the lifetime of the network. ER -