Development of a New Broadcast Protocol Based on Machine Learning for Wide-Ranging MANET Environments

A new broadcast protocol have been developed in this paper. Itpsilas based on a new method in which rebroadcasting a packet is decided by an intelligent classification scheme. Each MN builds a classifier and uses it on data collected from the network environment. For an input vector describing a broadcast packet and current network conditions, the classifier returns a result of "rebroadcast" or "drop". Through the simulation, we can identify a more energetic communication protocol and more efficient use because of each MNpsilas fitting various network condition.