• Vaishak.D.A
• Vaibhav.D.A

Opportunistic networks remain one of the essential categories of ad hoc networks in the Internet of Things (IoT), which examines individual activities like regular routines, ventures, and various more to present effective communication. In opportunistic networks, movable nodes stabilize the connection between nodes despite the non-availability of a dedicated route. Moreover, nodes do not gain any information in advance about the aspects of the network, such as the network topology and the position of the other nodes. Consequently, devising a routing algorithm becomes a demanding task as conventional routing protocols used in the Internet are infeasible for the characteristics of in- herent type of network. The suggested work propounds a multi-copy routing algorithm based on machine learning named iPRoPHET or intelligent PRoPHET (Probability routing protocol utilizing records of encounters and transitivity). iPRoPHET uses effective chang- ing contextual data of nodes and the transmission probability of PRoPHET to carry out information transfer. The iPRoPHET uses a machine-learning-based classifier known as random forest to divide the node as a reliable forwarder or a non-reliable forwarder based on the sup- plied contextual data during each routing decision. The classifier trained with a considerable measure of data derived utilizing simulation drives accurate classification as reliable or unreliable nodes for carrying out the routing task. The results obtained from the simulation prove that the proposed algorithm outperforms concerning delivery probability, hop count, overhead ratio, and latency but over costs concerning average buffer time in par with the same multi-copy routing algorithms. The uniqueness of this paper lies in data extraction, categorization, and training the model to obtain reliable and unreliable nodes to facilitate efficient multi-copy routing in IoT communication.

Internet of things; Machine learning; Mobility; Multi-copy; Random forest.

" An intelligent PRoPHET - Optimized Random forest-based multi-copy routing algorithm for opportunistic IoT networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c826-c837, August-2021, Available :http://www.jetir.org/papers/JETIR2108355.pdf

" An intelligent PRoPHET - Optimized Random forest-based multi-copy routing algorithm for opportunistic IoT networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc826-c837, August-2021, Available at : http://www.jetir.org/papers/JETIR2108355.pdf