As part of her PhD research, Fatemeh Safari (PhD candidate in the Computational Sciences PhD program) has been investigating and developing new routing algorithms for mobile ad hoc networks. Her most recent work “A Novel Cross-layer Adaptive Fuzzy-based Ad hoc On-Demand Distance Vector Routing Protocol for MANETs” has been accepted for publication in IEEEAccess, and a pre-print is currently available online.
The abstract for the paper is provided below.
One of the essential processes in Mobile ad hoc Networks (MANETs) is blind flooding to discover routes between source and destination mobile nodes. As the density of nodes in the network increases, the number of broadcast packets increases exponentially. This can lead to broadcast storms, a drain on the device’s battery, and reduced network efficiency. We propose a Cross-layer Adaptive Fuzzy-based ad hoc On-Demand Distance Vector routing protocol (CLAF-AODV) to minimize the routing broadcast traffic by considering the quality of service (QoS) (e.g. delay, throughput, packet loss), stability, and adaptability of the network. The suggested method employs two-level fuzzy logic and a cross-layer design approach to select the appropriate nodes with a higher probability of participating in broadcasting by considering parameters from the three first layers of the Open Systems Interconnection (OSI) model to achieve a quality of service, stability, and adaptability. It not only investigates the quality of the node and the network density around the node to make a decision but also investigates the path that the broadcast packet traveled to reach this node. Simulation results reveal that our proposed protocol reduces the number of broadcast packets and significantly improves network performance with respect to throughput, packet loss, normalized routing load, collision rate, and average energy consumption compared to the standard AODV and the Fixed Probability AODV (FP-AODV) algorithms.
To read Fatemeh’s most recent publication, you can find it here:
F. Safari, H. Kunze, J. Ernst and D. Gillis. (2023) “A Novel Cross-layer Adaptive Fuzzy-based Ad hoc On-Demand Distance Vector Routing Protocol for MANETs,” in IEEE Access, doi: 10.1109/ACCESS.2023.3277817.
Fatemeh has also co-authored several other papers (that have been already presented, published or are in press), and will be travelling (along with Izabela Savić, current MSc student in Computer Science) to the 19th International Conference on Wireless and Mobile Computing, Networking, and Communications (WiMob) in Montreal later this summer, to present “A Review of AI-based MANET Routing Protocols”.
Fatemeh Safari, Izabela Savic, Herb Kunze, Jason Ernst, and Daniel Gillis, “The Diverse Technology of MANETs: A Survey of Applications and Challenges,” International Journal of Future Computer and Communication vol. 12, no. 2, pp. 37-48, 2023.
F. Safari, I. Savić, H. Kunze, J. Ernst, D. Gillis. (2023). “A Review of AI-based MANET Routing Protocols”, Proceedings of the 2023 WiMob Conference in IEEExplore (accepted).
I. Savić, M. Asch, K. Rourke, F. Safari, P. Houlding, J.F. de Veubeke, J. Ernst, D. Gillis. (2022). “M-ODD: A Standard Protocol for Reporting MANET Related Models, Simulations, and Findings”, In: Bao, W., Yuan, X., Gao, L., Luan, T.H., Choi, D.B.J. (eds) Ad Hoc Networks and Tools for IT. ADHOCNETS TridentCom 2021 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 428. Springer, Cham. https://doi.org/10.1007/978-3-030-98005-4_9
You can also check out the ADHOCNETS presentation of the M-ODD protocol by watching the video below.