Quantum Firefly Secure Routing for Fog Based Wireless Sensor Networks

Wireless Sensor Networks (WSNs) become an integral part of Internet Things (IoT) and finds their applicability in several domains. As classical WSN faces issues service-based IoT applications, fog computing has been introduced real-time, enabling local data processing avoid raw transmission to cloud servers. The Fog-based generally involves advanced nodes, normal some Fog Nodes (FN). Though the offers benefits, there is a need develop effective trust-based secure routing protocol for among Cluster Heads (CHs) FNs. In this view, paper presents Quantum Firefly Optimization based Multi-Objective Secure Routing (QFO-MOSR) WSN. main intention QFO-MOSR technique derive optimal selection routes between CHs FNs network. incorporated concepts quantum (FF) optimization algorithm inspired by flashing behaviour FFs. addition, multi-objective fitness function derived using seven objectives: distance, inter-cluster energy, delay, intra-cluster link lifetime, trust. proposed derives including trust factor from ensuring security. design with shows novelty work. To validate performance technique, series experiments were carried out, results are investigated terms different measures. experimental analysis ensured that superior other methods