An enhanced Elman spike neural network (EESNN) optimized with hybrid wild horse optimization and chameleon swarm algorithm is proposed in this manuscript for multi‐objective cluster head selection and energy aware routing in wireless sensor network (CH‐EESNN‐Hyb‐WH‐CSOA‐WSN). Initially, EESNN is used to intelligent selection of cluster head. Then, the optimal cluster head utilized the selected data transferring process with the consideration of multi‐objective fitness function based EESNN. Here, some of the multi‐objective fitness function factors are considered, like energy, delay, throughput, distance between the nodes, traffic rate and cluster density. The hybrid wild horse optimization and chameleon swarm algorithm (Hyb‐WH‐CSOA) is taken into account for the optimal route path selection with minimal delay. The proposed CH‐EESNN‐Hyb‐WH‐CSOA‐WSN method is activated in network simulator 3 (NS‐3) tool. The performance of the proposed method is examined under certain performance metrics, like count of alive nodes, drop, network lifetime, delay, throughput, energy consumption, and packet delivery ratio. Finally, the proposed method attains 98.78%, 97.21%, 99.61% lower delay, 98.78%, 99.21%, 96.78% higher delivery ratio, and 99.57%, 98.67%, 98.88% lower packet drop compared with the existing methods, like optimal secure cluster head placement through source coding techniques in wireless sensor networks (CHP‐HMC‐WSN), optimal placement of single cluster head in wireless sensor networks via clustering (CHP‐K‐Means C‐PSO‐WSN) and hybrid firefly approach along particle swarm optimization for energy efficient optimum cluster head selection in wireless sensor networks (CHP‐HFAPSO‐WSN) respectively.
SummaryIn this article, blockchain‐enabled hybrid Red Fox optimization and arithmetic optimization approach‐based cluster head selection along Hazelnut tree search algorithm (HTSA)‐based optimal trust path selection is proposed to secure data transmission at wireless sensor network. The proposed BC‐Hyb‐RF‐AOA‐HTSA‐WSN method consists of two phases: (i) to find optimum cluster head (CH) and (ii) to find optimal trust path. Firstly, hybrid Red Fox optimization approach and arithmetic optimization algorithm are employed to select cluster head accurately. After CH selection, HTSA is used to find trust route from several routes, which is finalized optimally with the joint trust that depends on trust parameters. Finally, blockchain is provided with optimized, carefully chosen trust routes for communication. The proposed BC‐Hyb‐RF‐AOA‐HTSA‐WSN method is activated in NS2 tool. The proposed technique achieves lesser delays of 98.38%, 92.34%, and 97.45%, better delivery ratios of 89.34%, 83.12%, and 88.96%, and lower packet drops of 91.25%, 79.90%, and 92.88% compared with the existing techniques, such as BC‐FA‐ROA‐WSN, BC‐RDA‐WSN, and BC‐HRDSS‐WSN.
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