ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning

Opportunistic Networks (OppNets) is gaining popularity day-by-day due to their various applications in the real-life world. The two major reasons for its are suitability be established without any requirement of additional infrastructure and ability tolerate long delays during data communication. Network also considered as a descendant Mobile Ad hoc (Manets) Wireless Sensor (WSNs), therefore, it inherits most traits from both mentioned networking techniques. Apart popularity, starting face challenges nowadays comply with emerging issues large size communicated blind forwarding among participating nodes network. These lower overall performance Keeping this thing mind, ML-Fresh-a novel framework has been proposed paper which focuses overcome issue by maintaining an optimum path between pair available OppNet using machine learning techniques viz. pattern prediction, decision tree adamic-adar method complex networks. this, ML-Fresh uses history successful encounters communicating route prediction background. Simulation results prove that outperforms existing on grounds standard Quality-of-Service (QoS) parameters.