  In the Vehicular ad hoc networks (VANETs), due to the high mobility of
vehicles, the network parameters change frequently and the information which
the sender maintains may outdate when it wants to transmit data packet to the
receiver, so for improving the routing effective, we propose the probability
prediction based reliable (PRO) opportunistic routing for VANETs. The PRO
routing algorithm can predict the variation of Signal to Interference plus
Noise Ratio (SINR) and packet queue length (PQL) in the receiver. The
prediction results are used to determine the utility of each relaying vehicle
in the candidate set. The calculation of the vehicle utility is weight based
algorithm and the weights are the variances of SINR and PQL of the candidate
relaying vehicles. The relaying priority of each relaying vehicle is determined
by the value of the utility. By these innovations, the PRO can achieve better
routing performance (such as the packet delivery ratio, the end-to-end delay,
and the network throughput) than the SRPE, ExOR (street-centric), and GPSR
routing algorithms.
