Multi-objective Harris Hawks optimization algorithm based 2-hop routing algorithm for CR-VANET

Hossain, Mohammad Asif and Md Noor, Rafidah and Yau, Kok-Lim Alvin and Azzuhri, Saaidal Razalli and Z'Abar, Muhammad Reza and Ahmedy, Ismail and Jabbarpour, Mohammad Reza (2021) Multi-objective Harris Hawks optimization algorithm based 2-hop routing algorithm for CR-VANET. IEEE Access, 9. pp. 58230-58242. ISSN 2169-3536, DOI

Full text not available from this repository.


Vehicular Ad Hoc Network (VANET) emerges to ameliorate road accident, traffic congestion, and infotainment. Cognitive radio (CR) is integrated with VANET (termed as CR-VANET) to deal with the spectrum scarcity problems. For better data transmission, routing is very important in a highly dynamic CR-VANET environment. Routing in CR-VANET has several challenges due to vehicles' high-speed movements and channel accessibility issues. This paper proposes a 2-Hop routing algorithm based on the Multi-Objective Harris Hawks Optimization (2HMO-HHO) algorithm that chooses the optimal forwarders between the source and destination vehicles. Selecting 2-hops instead of multiple hops or the entire route increases the selected route's stability and assures successful data transmission. The simulations performed in OMNeT++ with SUMO show that the proposed algorithm achieves promising results on throughput, delay, packet delivery ratio, packet loss rate and communication overhead.

Item Type: Article
Funders: Sunway University, Universiti Malaya [CR-UM-SST-DCIS-2018-01] [RK004-2017]
Uncontrolled Keywords: Routing; Vehicular ad hoc networks; Optimization; Routing protocols; Delays; Heuristic algorithms; Dedicated short range communication; VANET; Routing algorithm; 2-hop routing; Harris Hawks Optimization; cognitive radio; throughput; packet delivery ratio; delay; packet loss rate; communication overhead
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Computer Science & Information Technology > Department of Computer System & Technology
Depositing User: Ms Zaharah Ramly
Date Deposited: 18 Aug 2022 01:22
Last Modified: 18 Aug 2022 01:22

Actions (login required)

View Item View Item