A security enhancement and energy saving clustering scheme in smart grid sensor network

Recently, WSNs have been widely recognized as a promising technology that can enhance various aspects of today's electric power systems, including generation, delivery, and utilization, making them a vital component of the next-generation electric power system, the smart grid. However, harsh and complex environments pose great challenges in the reliability of WSN communications in smart-grid applications. Malicious nodes may attack the grid network through information tamper, ID spoofing, message stealing etc., to make the network fail or unavailable. In addition, since a great many energy is consumed by the malicious nodes, a grid network may rapidly die due to energy leaking. In this paper, to address above issues, a clustering scheme based on nodal belief evaluation is proposed in smart grid sensor networks to enhance the security and improve the energy efficiency. Numerical results show that our proposed algorithm could outperform traditional clustering schemes in WSNs in terms of network lifetime and packets drop ratio.