Research Issues in False Information Broadcasting Rogue Node Detection for Green VANETs

Vehicular Ad-hoc Networks (VANETs) serve as the basis of Intelligent Transportation Systems (ITS). Green communication for VANETs emphasizes reducing the harmful impacts of vehicular communication on the environment through energy-efficient communication, reduced fuel consumption, alleviation of road congestions, and reduced emission of harmful compounds, etc. In VANETs, the participating nodes (vehicles) benefit from the broadcasted beacon messages among themselves that can aid in achieving the objectives of green communication. However, a rogue node in this setup may broadcast false information that may lead to potential hazards and nullify the desirable properties of green communication. Hence the detection of such rogue nodes is critical. Different techniques such as cryptography, trust score evaluation, statistical techniques, AI-based methods, etc., are used to detect false information broadcasting rogue nodes. The characteristics of VANETs and the detection of false information broadcasting rogue nodes introduce unique research issues to the problem. In this paper, we discuss these research issues that should be addressed by a technique for detecting false information broadcasting rogue nodes and highlight their importance in fulfilling green communication in VANETs.