• vaishali matvankar
• Hemant gupta

Adaptive opportunistic routing is a heart favorite topic for many researchers. In this paper, we are presenting a review of some modern adaptive opportunistic scheme for the wireless adhoc network. In comparison to cellular networks the ad hoc networks are more adaptable to changing physical conditions and traffic demands. The attenuation characteristics of the media are nonlinear due to the unpredictability of the wireless medium. The energy efficiency will be superior and increased special diversity will yield superior capacity and hence superior spectral efficiency. By using a reinforcement learning framework, we will propose an adaptive opportunistic routing algorithm which minimizes the expected average per packet cost for routing a packet from a source node to a destination. It results in avoiding unnecessary packet re-transmission.

: Adaptive Opportunistic Routing, Adhoc Network, Reinforcement learning,

"A DISTRIBUTED ADAPTIVE ROUTING ALGORITHM FOR WIRELESS ADHOC ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.1455-1466, January-2021, Available :http://www.jetir.org/papers/JETIR2101182.pdf

"A DISTRIBUTED ADAPTIVE ROUTING ALGORITHM FOR WIRELESS ADHOC ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp1455-1466, January-2021, Available at : http://www.jetir.org/papers/JETIR2101182.pdf