Improving Connectivity of Cognitive Radio VANETs
Krishan Kumar, Mani Shekhar · International Journal of Engineering and Technology · 2017
The current trends in vehicular adhoc networks are bringing a variety of changes to the existing one.The primary focuses in the area of vehicular adhoc networks are connectivity and file distribution which is broadcast by roadside units to the onboard units during handoffs.The connectivity of vehicular adhoc network can be improved by the use of cognitive radio networks with interference management approach.Then the networks are known as cognitive radio vehicular adhoc networks.The interference management approach can be done cooperatively where each individual node assign weights on the channel and short their channels to reduce the interference.But this type of interference approach is unnecessary in the highway as the spectrum remains low and clean.The other possible disadvantage is that the node shares its information with other nodes in the networks.Its solution is to use multiple antennas to improve the connectivity in cognitive radio vehicular adhoc networks which improves the data rates in highways.This paper proposes the approach to use of multiple antennas to improve the connectivity of cognitive radio vehicular adhoc networks during handoffs.The modification is done in available non-cooperative approach and coalitional graph game based approach.The simulation results show that the proposed approach increases the data rate compared to available approaches, reducing the interference and improving the connectivity in cognitive radio vehicular adhoc networks.