Artificial Bee Colony Optimization for Event Management in Ad hoc Networks: Enhancing Efficiency and Scalability
Abstract
The discussion includes many mishappenings that can happen in the network, such as any blast, network breakdown, battery usage that
is optimised. The fact that the nodes in an ad hoc network are not stationary makes it extremely difficult to pinpoint the problematic
node or the node that suffers from the incident. The pathways in this study are discovered using the Artificial Bee Colony (ABC) technique.
A neural network is used for identification and mitigation. The ABC algorithm is used to manage events during the route discovery process.
It is shown how to create an ad hoc network to find route mechanisms involving node movement and identification inside the coverage area.
The artificial bee colony algorithm and the Levenberg neural network classification model used in this paper constitute an improved method
for the route discovery mechanism.
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37-48.
2. Qin D, Ding Z. Transport Capacity Analysis of Wireless In- Band Full Duplex Ad Hoc Networks. IEEE Transactions
on Communications. 2017 March, 65(3), pp. 1303-1318.
3. C.K Toh, Chai K, Anh L, ze YC. Load-balanced routing protocols for ad hoc mobile wireless networks in IEEE
Communications Magazine. 2009 August, 47(8), pp. 78-84.
4. Wang Y, Chen IR, Cho JH, Tsai JJP. Trust-Based Task Assignment with Multi-Objective Optimization in Service-Oriented Ad Hoc Networks. IEEE Transactions on Network and Service Management. 2017 March,
14(1), pp. 217-232.
5. Bader A, Alouini MS. Mobile Ad Hoc Networks in Bandwidth-Demanding Mission-Critical Applications. Practical Implementation Insights. IEEE Access. 2017, 5(9), pp. 891-910.
6. MadanR, Mehta NB, MolischA F, Zhang J. Energy- Efficient Decentralized Cooperative Routing in Wireless
Networks. IEEE Transactions on Automatic Control. 2009 March, 54(3), pp. 512-527.
7. Skjelsvik KS, Goebel V, Plagemann T. Distributed Event Notification for Mobile Ad Hoc Networks. IEEE
Distributed Systems Online published by the IEEE Computer society. 2004 Aug, 5(8), pp. 2-2.
8. Prashar L, Kapur. RK. Performance analysis of routing protocols under different types of attacks in MANETs.
5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future
Directions) (ICRITO), Noida. 2016, pp. 405-408.
9. Bhorkar A, Naghshvar M, Javidi T. Opportunistic Routing with Congestion Diversity in Wireless Ad Hoc
Networks. IEEE/ACM Transactions on Networking. 2016 April, 24(2), pp. 1167-1180.
10. Seet C, Lee BS, Lau CT.On optimizing route discovery of topology-based on-demand routing protocols for
ad hoc networks. Journal of Communications and Networks. 2003 Sept, 5(3) pp. 266-274.
11. Yang S, Cheng, Wang HF. Genetic Algorithmswith Immigrants and Memory Schemes for Dynamic
Shortest Path Routing Problems in Mobile Ad Hoc Networks. IEEE Transactions on Systems, Man,
Cybernetics, Part C (Applications and Reviews). 2010 Jan, 40(1), pp. 52-63.
12. Peng Y, Al-Hazemi F, Kim H, Youn CH.Design and Optimization for Energy-Efficient Cooperative MIMO
Transmission in Ad Hoc Networks.IEEE Transactions on Vehicular Technology. 2017 Jan, 66(1), pp. 710-719.
13. Sheikhan, Hemmati ME. High reliable disjoint path set selection in amobile ad-hoc network using Hopfield
neural network. IET Communications. 2011 July, pp. 1566-1576.
14. Ghosh, Uttam, Datta R. A Secure Addressing Scheme for Large-Scale Managed MANETs. IEEE Transactions
on Network and Service Management. 2015 Sept, 12(3), pp. 483-495.
15. Gao Y, Dong W, Chen C, Zhang X, Bu J, Liu X. Accurate Per-Packet Delay Tomography in Wireless Ad Hoc
Networks.IEEE/ACM Transactions on Networking. 2017 Feb, 25(1), pp. 480-491.
16. Kumar S, Chaudhary R. Optimization of routing algorithms in ad-hoc networks using swarm intelligence.
World Congress on Information and Communication Technologies, Mumbai. 2011, pp. 677-681.
17. Anand A, Aggarwal H, Rani R. Partially distributed dynamic model for secure and reliable routing in mobile
ad hoc networks. Journal of Communications and Networks. 2016 Dec,18(6), pp. 938-947.
Published
2023-10-12
How to Cite
SINGH, Alok Kumar.
Artificial Bee Colony Optimization for Event Management in Ad hoc Networks: Enhancing Efficiency and Scalability.
Journal of Advanced Research in Networking and Communication Engineering, [S.l.], v. 6, n. 1, p. 1-6, oct. 2023.
Available at: <http://thejournalshouse.com/index.php/adr-networking-communication-eng/article/view/861>. Date accessed: 03 apr. 2025.
Section
Review Article
