  Blind spots are one of the causes of road accidents in the hilly and flat
areas. These blind spot accidents can be decreased by establishing an Internet
of Vehicles (IoV) using Vehicle-2-Vehicle (V2V) and Vehicle-2-Infrastrtructure
(V2I) communication systems. But the problem with these IoV is that most of
them are using DSRC or single Radio Access Technology (RAT) as a wireless
technology, which has been proven to be failed for efficient communication
between vehicles. Recently, Cognitive Radio (CR) based IoV have to be proven
best wireless communication systems for vehicular networks. However, the
spectrum mobility is a challenging task to keep CR based vehicular networks
interoperable and has not been addressed sufficiently in existing research. In
our previous research work, the Cognitive Radio Site (CR-Site) has been
proposed as in-vehicle CR-device, which can be utilized to establish efficient
IoV systems. H In this paper, we have introduced the Emotions Inspired
Cognitive Agent (EIC_Agent) based spectrum mobility mechanism in CR-Site and
proposed a novel emotions controlled spectrum mobility scheme for efficient
syntactic interoperability between vehicles. For this purpose, a probabilistic
deterministic finite automaton using fear factor is proposed to perform
efficient spectrum mobility using fuzzy logic. In addition, the quantitative
computation of different fear intensity levels has been performed with the help
of fuzzy logic. The system has been tested using active data from different GSM
service providers on Mangla-Mirpur road. This is supplemented by extensive
simulation experiments which validate the proposed scheme for CR based
high-speed vehicular networks. The qualitative comparison with the
existing-state-of the-art has proven the superiority of the proposed emotions
controlled syntactic interoperable spectrum mobility scheme within cognitive
radio based IoV systems.
