Intersection Routing Based on Fuzzy Multi-Factor Decision for VANETs
Source abstract
Abstract
Vehicular ad hoc network (VANET) is a special form of mobile ad hoc network (MANET), which plays a key role in the intelligent transportation system (ITS). Though many outstanding geographic routing protocols are designed for VANETs, a majority of them use parameters that only affect routing performance. In this article, we propose an intersection routing based on fuzzy multi-factor decision (IRFMFD), which utilizes several features. The scheme is divided into two parts, namely vehicular decision management and intersection decision management. In the vehicular component, candidate vehicles between two static nodes (SNs) located at two intersections derive potential routing paths considering distance, neighbor quantity, and relative velocity. In the intersection component, the candidate SN was chosen from the current intersection’s 2-hop neighbors which were connected with the current intersection by a route that was decided on in part one. To get the best scheme, we also introduced other factors to estimate the number of hops in each link and link lifetime. The simulation shows that the IRFMFD outperforms on delivery ratio and end-to-end delay compared with AODV (Ad hoc on-demand distance vector), GPSR (Greedy perimeter stateless routing) and GeOpps (Geographical opportunistic routing).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Vehicular Ad Hoc Networks (VANETs) · Autonomous Vehicle Technology and Safety · Traffic control and management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Korea
Department of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka
School of Computer Engineering, Jiangsu University of Technology, Changzhou 213001, China
Funding
National Research Foundation of Korea · SW Human Resource Development Program for Supporting Smart Life
References (25)
Show source-provided references
1. Ghori, M.R., Zamli, K.Z., Quosthoni, N., Hisyam, M., and Montaser, M. (2018, January 11–12). Vehicular ad-hoc network (VANET): Review. Proceedings of the 2018 IEEE International Conference on Innovative Research and Development (ICIRD), Bangkok, Thailand.10.1109/ICIRD.2018.8376311 ↗
2. Vehicular communication systems: Enabling technologies applications and future outlook on intelligent transportation10.1109/MCOM.2009.5307471 ↗
3. Sharma, S. (2019, January 18–19). Vehicular Ad-Hoc Network: An Overview. Proceedings of the 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India.10.1109/ICCCIS48478.2019.8974524 ↗
4. Liang, W., Li, Z., Zhang, H., Wang, S., and Bie, R. (2015). Vehicular Ad Hoc Networks: Architectures, Research Issues, Methodologies, Challenges, and Trends. Int. J. Distr. Sensor Netw.10.1155/2015/745303 ↗
5. Vehicular ad hoc networks (VANETS): Status, results, and challenges10.1007/s11235-010-9400-5 ↗
6. Survey of Routing Protocol used in Vehicular Ad Hoc Networks
7. Smiri, S., Boushaba, A., Abbou, R.B., and Zahi, A. (2018, January 2–4). Geographic and topology based routing protocols in vehicular ad-hoc networks: Performance evaluation and QoS analysis. Proceedings of the 2018 International Conference on Intelligent Systems and Computer Vision (ISCV), Fez, Morocco.10.1109/ISACV.2018.8354070 ↗
8. Perkins, C.E., and Royer, E.M. (1999, January 25–26). Ad-hoc on-demand distance vector routing. Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 1999), New Orleans, LA, USA.10.1109/MCSA.1999.749281 ↗
9. Dynamic source routing in ad hoc wireless networks
10. (2018, January 23–25). Sabbagh Amani Ahmad; Maxim Shcherbakov. A Survey on Routing Protocols in Vehicular Adhoc Networks. Proceedings of the 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), Zakynthos, Greece.
11. Karp, B., and Kung, H.T. (2000, January 6–11). GPSR: Greedy perimeter stateless routing for wireless networks. Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, Boston, MA, USA.10.1145/345910.345953 ↗
12. Geographic routing in city scenarios10.1145/1055959.1055970 ↗
13. Intersection-based routing for urban vehicular communications with traffic-light considerations10.1109/MWC.2012.6155880 ↗
14. Alsharif, N., Céspedes, S., and Shen, X.S. (2013, January 9–13). iCAR: Intersection-based connectivity aware routing in vehicular ad hoc networks. Proceedings of the 2013 IEEE International Conference on Communications (ICC), Budapest, Hungary.10.1109/ICC.2013.6654769 ↗
15. iCAR-II: Infrastructure-based connectivity aware routing in vehicular networks10.1109/TVT.2016.2600481 ↗
16. VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks10.1109/TVT.2007.901869 ↗
17. Ding, Y., Wang, C., and Xiao, L. (2007, January 10). A Static-Node Assisted Adaptive Routing Protocol in Vehicular Networks. Proceedings of the Fourth International Workshop on Vehicular Ad Hoc Networks, VANET 2007, Montréal, QC, Canada.10.1145/1287748.1287758 ↗
18. Leontiadis, I., and Mascolo, C. (2007, January 18–21). GeOpps: Geographical opportunistic routing for vehicular networks. Proceedings of the IEEE International Symposium on World of Wireless, Mobile and Multimedia Networks (WoWMoM 2007), Espoo, Finland.10.1109/WOWMOM.2007.4351688 ↗
19. Traffic-aware routing protocol with cooperative coverage-oriented information collection method for VANET10.1049/iet-com.2015.1016 ↗
20. Li, G., Ma, M., Liu, C., and Shu, Y. (2015). Adaptive fuzzy multiple attribute decision routing in VANETs. International J. Commun. Syst.10.1109/ICCS.2014.7024866 ↗
21. Fuzzy logic-based geographic routing for urban vehicular networks using link quality and achievable throughput estimations10.1109/TITS.2018.2867177 ↗
22. A fuzzy extension of Saaty’s priority theory10.1016/S0165-0114(83)80082-7 ↗
23. Artimy, M.M., Robertson, W., and Phillips, W.J. (2004, January 2–5). Connectivity in inter-vehicle ad hoc networks. Proceedings of the Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513), Niagara Falls, ON, Canada.
24. Zeleny, M. (1982). Multiple Criteria Decision Making, McGraw-Hill.
25. Fuzzy multicriteria model for post-earthquake land use planning10.1061/(ASCE)1527-6988(2003)4:2(59) ↗