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| Smart grid (SG) is the next-generation electric power system to improve the performance of traditional power grid. Wireless sensor network (WSNs) have been used to achieve seamless, energy efficient, reliable and low-cost remote monitoring and control in SG applications. Recently, 6LoWPAN makes it possible for IPv6 communication with low cost and low power nodes. So IPv6-based WSNs are thought to be of great prospect in SG. In heterogeneous WSNs, energy-efficient clustering algorithms are used to reduce the energy consumption. In this paper, we present an architecture of smart grid based on IPv6-based WSNs at first and then propose an improved distributed energy efficient clustering algorithm (IDEEC) for the presented WSNs. We simplify the probability threshold， improve the cluster head selection probability and optimize the estimation of the average energy of network. Simulation results confirm the performance supremacy of IDEEC compared to current clustering protocols in terms of network life, number of messages, mean and variance of cluster heads (CHs) . Furthermore, IDEEC takes the minimum running time, which makes it easier to be applied in reality. |
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| Keywords:Communication and Information Systems; Clustering algorithm; Smart grid; Wireless sensor network; IPv6 |
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