Affiliations: [a] Department of Computer Science and Engineering, Amity University Uttar Pradesh, Noida, India
| [b]
School of Computer Science and Engineering Vellore Institute of Technology, Vellore | [c] Visiting Professor, Kyungpook National University, Korea
Correspondence:
[*]
Corresponding author. Achyut Shankar, Department of Computer Science & Engineering, Amity University Uttar Pradesh, Noida, India. E-mail: [email protected].
Abstract: Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.
Keywords: Vehicular ad hoc network (VANET), fuzzy logic, routing, mobility, trust
