ECFL-IoVT: Emergency Communications using Fuzzy Logic for Internet of Vehicle Things

Chetana Hemant NemadeEmail

Uma Pujeri

Dr. Vishwanath Karad, MIT World Peace University, School of Computer Engineering and Technology, Pune 411038, India.

Abstract

The Internet of Things (IoT) currently examines vehicle ad hoc networks (VANETs) for usage in intelligent transportation systems. For example, the widespread use of various automobile sensors has opened up new opportunities for enhancing routing performance in VANETs. This research proposes ECFL-IoVT, Emergency Communications using Fuzzy Logic for Internet of Vehicle Things. Finding the highest-quality reliable pathway among an origin and an end node is the foundation of the logic for the Internet of Vehicle Things protocol, which builds on hybrid fuzzy and ACO techniques. In ECFL-IoVT, the path finding process is intelligently enforced restrictions and the fuzzy control system are constrained extra overhead controls reducing the number of routing requests. The hybrid fuzzy logic rule selects the next reliable vehicle for data transmission through the rules evaluation towards the emergency vehicle to inform about the currently available freeway. The systematic and robust rules were introduced by considering various parameters such as mobility, congestion, and queue quality. By computing an improved fitness function, the type-2 fuzzy logic system for this contribution intelligently chooses the most stable and ideal path out of all known routes. Comparing ECFL-IoVT to other routing protocols, the simulation results show that it significantly upgrades the network performance, ‘Routing Overhead’, ‘Packet Delivery Ratio’, and ‘Delay’.

ECFL-IoVT: Emergency Communications using Fuzzy Logic for Internet of Vehicle Things