AN IMPROVED BIO INSPIRED COMPUTING ALGORITHM FOR PROVIDING SECURITY IN WIRELESS SENSOR NETWORKS

The challenges of modernizing energy management systems in the face of growing demands for reliability, efficiency, and scalability. Traditional power grids, which are unable to accommodate the integration of renewable energy sources, electric vehicles, and dynamic load demands, are increasingly being replaced by smart grids powered by advanced information and communication technologies (ICTs). Wireless Sensor Networks (WSNs) are pivotal in enabling this transformation. However, WSNs face issues such as high packet loss, electromagnetic interference, and fluctuating link qualities. Furthermore, different smart grid applications have varied Quality of Service (QoS) needs in terms of bandwidth, latency, and reliability. To overcome these challenges, Cognitive Radio Sensor Networks (CRSNs) offer dynamic spectrum access. This article proposes a novel bio-inspired approach combining honey bee mating optimization for routing and cooperative channel assignment to improve CRSN performance. The framework optimizes packet delivery, reduces energy consumption, and meets QoS requirements through dynamic adaptation, as demonstrated by extensive simulations.