Highly Reliable Fuzzy-Logic-Assisted AODV Routing Algorithm for Mobile Ad Hoc Networks

Due to the noncentered, self-organizing, and self-healing characteristics, mobile ad hoc networks (MANET) have been more and more widely used as an alternative access technology for regions having no fixed infrastructure. On-demand routing protocols (e.g., ad hoc on-demand distance vector (AODV)) are used to cope with the rapidly changing topology of MANET and reduce the network overhead. Taking delay, stability, and remaining energy of nodes into consideration, a fuzzy-logic-assisted AODV (FL-AODV) routing algorithm is proposed in this paper to further improve the reliability of the route in MANET. In the route discovery phase, the node with the highest reliability is selected as the relay node, and the route with the highest accumulated reliability is reserved for data transmission. Simulation results show that, compared with the traditional AODV protocol and the fuzzy logic routing algorithm (FLRA), the proposed routing protocol has higher reliability without increasing delay, i.e., better link connectivity and longer route life. The average routing reliability is about 18% higher than AODV while the average delay is the same low when the number of node greater than 70.

[1]  B. J. Ambika,et al.  A novel energy efficient routing algorithm for MPLS-MANET using fuzzy logic controller , 2021 .

[2]  D. Ismail,et al.  Mobile ad hoc network overview , 2007, 2007 Asia-Pacific Conference on Applied Electromagnetics.

[3]  Reza Hooshmand,et al.  Improving AODV with TOPSIS Algorithm and Fuzzy Logic in VANETs , 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

[4]  Chenguang He,et al.  A Fuzzy Logic Reinforcement Learning-Based Routing Algorithm For Flying Ad Hoc Networks , 2020, 2020 International Conference on Computing, Networking and Communications (ICNC).

[5]  S. Krit,et al.  A mutlipath routing algorithm for wireless sensor networks under distance and energy consumption constraints for reliable data transmission , 2017, 2017 International Conference on Engineering & MIS (ICEMIS).

[6]  Balasubramanian Raman,et al.  On Demand Routing Protocols for Mobile Ad Hoc Networks: A Review , 2009, 2009 IEEE International Advance Computing Conference.

[7]  Bernard De Baets,et al.  Only Smooth Rule Bases Can Generate Monotone Mamdani-Assilian Models Under Center-of-Gravity Defuzzification , 2009, IEEE Trans. Fuzzy Syst..

[8]  Nidhi,et al.  Vehicular Ad-Hoc Network: An Overview , 2019, 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).

[9]  Moving Ad Hoc Networks—A Comparative Study , 2021 .

[10]  Inam Ullah Khan,et al.  Flying ad-hoc networks (FANETs): A review of communication architectures, and routing protocols , 2017, 2017 First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT).

[11]  Vahid Sattari-Naeini,et al.  Application of fuzzy logic for selecting the route in AODV routing protocol for vehicular ad hoc networks , 2015, 2015 23rd Iranian Conference on Electrical Engineering.

[12]  José Jailton,et al.  A Proposal for Routing Protocol for FANET: A Fuzzy System Approach with QoE/QoS Guarantee , 2019, Wirel. Commun. Mob. Comput..

[13]  Chun-Yi Liu,et al.  Vertical Handoff Decision Using Fuzzification and Combinatorial Fusion , 2017, IEEE Communications Letters.

[14]  Pascal Lorenz,et al.  EQ-AODV: Energy and QoS supported AODV for better performance in WMSNs , 2016, 2016 IEEE International Conference on Communications (ICC).

[15]  Imad Mahgoub,et al.  Fuzzy Logic-Based Geographic Routing for Urban Vehicular Networks Using Link Quality and Achievable Throughput Estimations , 2019, IEEE Transactions on Intelligent Transportation Systems.

[16]  Gunseerat Kaur,et al.  Routing Protocols in MANET: An Overview , 2019, 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).

[17]  P. Parvathi,et al.  Comparative analysis of CBRP, AODV, DSDV routing protocols in mobile Ad-hoc networks , 2012, 2012 International Conference on Computing, Communication and Applications.

[18]  Nan Wang,et al.  Performance comparison and evaluation of the proactive and reactive routing protocols for MANETs , 2017, 2017 Wireless Telecommunications Symposium (WTS).

[19]  Narendra Singh Yadav,et al.  Performance Comparison and Analysis of Table-Driven and On-Demand Routing Protocols for Mobile Ad-hoc Networks , 2008 .

[20]  Rahim Tafazolli,et al.  Fuzzy Logic-Based Routing Algorithm for Lifetime Enhancement in Heterogeneous Wireless Sensor Networks , 2018, IEEE Transactions on Green Communications and Networking.

[21]  Wei Ni,et al.  A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs , 2019, IEEE Transactions on Vehicular Technology.

[22]  O. Kosheleva,et al.  Why Trapezoidal and Triangular Membership Functions Work So Well: Towards a Theoretical Explanation , 2014 .

[23]  Jin Xu,et al.  Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks , 2019, Sensors.