Secure Intelligent Optimized Link Heuristic in Cross-Network Handover for IoT

Complexity management and system performance optimization are achieved using machine learning in high level of digitized automation systems. In this paper, we worked on enhancement of the link state heuristic performance in terms of reliability, scalability, power consumption and capture effect with outcomes that have demonstrated the usefulness, flexibility and configurability with security. Handover in heterogeneous ad hoc network plays an important role in the performance of the network. As technology advances, massive IoT devices communicate with each other with different technologies and transmit the data to the desired device through cloud or fog by using different technologies. Cross-domain, cross-platform, cross-network with cross-layering can enhance the operation of smart projects. QoS is desired for video and heavy data traffic. In this paper, we presented the handover within HetNet with its performance. Observation shows that link state heuristic for medium and dense area performs better. The impact of queue size, distance and packet size is represented in the graph.