Social Spider Enhanced Multi-Layered ANN Routing Scheme for Wireless Sensor Networks Utilizing Internet of Things and Blockchain Technology
Jinsha Lawrence, Shaji K. A. Theodore, Dinesh Kumar Budagam · International Journal of Electronics and Communication Engineering · 2025
Wireless Sensor Network (WSN) is prone to various attacks during data transmission and also faces difficulties including reduced energy efficiency, minimized security and less network lifetime. For this reason, appropriate security measures and routing approaches need to be implemented. Henceforth, this paper presents a secure and energy-efficient routing scheme for WSN to address these difficulties. The proposed work consists of a Social Spider enhanced Multi-layered Artificial Neural Network (ANN) based routing scheme for attaining improved WSN management with reduced complexity. The deployment of an SSO-multi-layered ANN routing scheme acquires adaptive and dynamic routing with energy efficiency and increased robustness. Moreover, conventional IoT platforms struggle with various limitations, including cyberattacks; thus, to enhance data access with improved data privacy and security, IoT is integrated with Blockchain technology to ensure data integrity and protection. In spite of this, achieving a dependable routing scheme is crucial for assuring the security and efficiency of WSN. As a result, the proposed SSO-multi-layered ANN routing scheme is combined with IoT and Blockchain technology, enhancing WSN efficacy and Reliability. The proposed system is validated using NS-2. The results show reduced packet loss and energy consumption with increased PDR, network lifetime and throughput, indicating highly secure and protected WSN performance.