Blockchain abetted energy efficient archerfish hunting and Namib Beetle optimization algorithm espoused clustering protocol for wireless sensor network

Abstract

Security and energy efficiency are regarded as the significant problems in the pervasive wireless networks. Since widespread wireless networks rely on battery-operated nodes, it is necessary to progress an energy-efficient scheme to lower energy consumption and increase the networks lifespan. The existing approaches fail to accomplish both objectives at the same time. Therefore, this paper proposes a Blockchain abetted Energy Efficient Archerfish Hunting and Namib Beetle Optimization Algorithm espoused Clustering Protocol for Wireless Sensor Network (BC-EEAHNBOA-CP-WSN). The proposed method operates in two phases: (i) determining the optimal cluster heads, (ii) determining the optimal trust path. The Archerfish Hunting Optimizer and Namib Beetle Optimization Algorithm are used to precisely select the cluster heads, while the optimized trust paths are secured using blockchain technology. This paper combines the development of Energy Efficient Archerfish Hunting and Namib Beetle Optimization Algorithm (EEAHNBOA) with blockchain-enabled secure data transmission, introduces a clustering method based on AFHO-NBOA for efficient cluster head selection using a fitness function that incorporates energy, node density, neighboring nodes' distance, and sink distance, and ensures safe data transfer between cluster members and cluster heads using blockchain. The proposed BC-EEAHNBOA-CP-WSN approach is executed in MATLAB 2018a, its effectiveness is examined using metrics. The results demonstrate that the proposed method achieves a 23.31%, 45.16%, and 18.72% higher packet delivery ratio, and a 15.56%, 47.31%, and 19.96% longer network lifetime compared to existing methods. By fusing blockchain technology with sophisticated optimization algorithms, this research advances the state of the art by improving WSN security and energy efficiency. The implications of this work suggest significant improvements in the lifespan and reliability of wireless sensor networks, which are crucial for a wide range of applications.