Emotion-controlled spectrum mobility scheme for efficient syntactic interoperability in cognitive radio-based unmanned vehicles

Abstract

Collision is a key factor to be considered in the design of a communication system for unmanned vehicles, especially when they do extreme surveillance. Collisions can be avoided by establishing efficient vehicle-2-vehicle (V2V) and vehicle-2-infrastructure (V2I) communications through the Internet of Vehicles (IoV). Recently, software defined cognitive radio (CR) based IoV has emerged as a potential technology for efficient communications among unmanned vehicles. However, spectrum mobility is a challenge for keeping CR-based networks interoperable and has not been sufficiently investigated in the existing research. In our previous work, the cognitive-radio Site (CR_Site) has been proposed as an in-vehicle CR-device which can be utilized to establish an efficient IoV system. However, the CR_Site is not capable of resolving the spectrum mobility challenge in high-speed unmanned IoV systems. Therefore, in this paper we introduce an emotion-inspired cognitive agent (EIC_Agent) for spectrum mobility in CR_Site. The agent is equipped with a novel emotion-controlled spectrum mobility scheme that achieves efficient syntactic interoperability among unmanned vehicles. For efficient spectrum mobility, a probabilistic and deterministic finite automaton using a fear factor is proposed. Moreover, we performed a quantitative computation of different fear intensity levels with the help of fuzzy logic. We tested the system using active data from different GSM service providers on the Mangla-Mirpur road. The results are supplemented by extensive simulation experiments, which validate the proposed scheme for a CR-based high-speed unmanned vehicle network. Finally, we compare the proposed scheme with the existing state-of-the-art, demonstrating the superiority of the proposed EIC-agent-based spectrum mobility scheme within a CR-based IoV system.