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- W4308981663 abstract "The smart grid is a modern electric power grid infrastructure that uses brainy transmission and distribution networks to transport electricity. Using a wireless sensor network in a smart grid aims to increase the electric system's efficiency, reliability, and safety. In order to improve security, there is a lot of cryptography, authentication, and security mechanism was developed, but this was not enough to cope with attacks presented in the cluster. In order to overcome these attacks and enhance an energy-aware facility in the wireless Smart Grid, Spider Based Security and Energy Aware Clustering (SSEAC) are proposed in this paper. This proposed method focused on both Security and Energy consumption with three steps. Initially, the fuzzy-based clustering algorithm is presented to initialize the group of nodes for cluster formation. The second step carries the Trust Degree Evaluation of every individual node, which is one of the important security factors in fitness objective functions. Finally, the Spider Optimization Algorithm (SOA) is presented to find a Node Distance from a base station, the distance between the Node and Cluster Head (CH), total energy consumption, Received Signal Strength (RSS), and Node's Trust degree for optimum CH selection. In addition, this process may give a better result for highly secured data transmission. As a result, the proposed SSEAC method has a better outcome in the Network lifetime and Less Energy consumption with higher packet delivery rates than the prior methods." @default.
- W4308981663 created "2022-11-20" @default.
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- W4308981663 date "2022-10-30" @default.
- W4308981663 modified "2023-09-26" @default.
- W4308981663 title "A Novel Spider Swarm Optimized Energy and Security Aware Clustering Protocol for Smart Grid Wireless Sensor Network" @default.
- W4308981663 doi "https://doi.org/10.14445/23488379/ijeee-v9i10p104" @default.
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