International Journal of Computer Network and Information Security (IJCNIS)
IJCNIS Vol. 17, No. 5, 8 Oct. 2025
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Optimizing Packet Delivery in Wireless Mesh Networks Using ABC-PSO with VoIP Protocol
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Author(s)
Sankranti Srinivasa Rao
1
A. Vijayasankar
2
J. Venkateswara Rao
3
Narayana Rao Palepu
4
M. K. Kishore
5,*
B. Nancharaiah
5
Index Terms
Wireless Mesh Networks, Voice over Internet Protocol, Artificial Bee Colony, Particle Swarm Optimization, Packet Loss Reduction, Packet Count Analysis, Network Performance
Abstract
Wireless Mesh Networks (WMNs) have gained prominence in modern communication technology due to their flexibility and ease of deployment, which are advantageous in scenarios like disaster management and rescue operations. However, existing methods for enhancing the performance of WMNs, such as increasing the number of gateways, are costly, introduce interference, and complicate deployment. Moreover, current routing protocols often suffer from suboptimal packet delivery due to inadequate traffic flow management and packet loss. This research addresses these gaps by proposing a novel optimization model that integrates Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) techniques to enhance packet delivery ratio in WMNs using Voice over Internet Protocol (VoIP). Unlike traditional approaches that overlook efficient traffic management, our proposed model focuses on optimizing packet transmission by selecting efficient routes and minimizing packet loss. The novelty of this solution lies in its hybrid use of ABC and PSO for dynamic node and route selection, which significantly improves network performance, reduces control overhead, and minimizes packet loss. Experimental results demonstrate that the proposed model outperforms existing protocols, making it a promising approach for enhancing network reliability and efficiency in WMNs.
Cite This Paper
Sankranti Srinivasa Rao, A. Vijayasankar, J. Venkateswara Rao, Narayana Rao Palepu, M. K. Kishore, "Optimizing Packet Delivery in Wireless Mesh Networks Using ABC-PSO with VoIP Protocol", International Journal of Computer Network and Information Security(IJCNIS), Vol.17, No.5, pp.76-90, 2025. DOI:10.5815/ijcnis.2025.05.06
Reference
[1]H. Q. A. Abdulrab et al., "Optimal Coverage and Connectivity in Industrial Wireless Mesh Networks Based on Harris’ Hawk Optimization Algorithm," in IEEE Access, vol. 10, pp. 51048-51061, 2022, doi: 10.1109/ACCESS.2022.3173316.
[2]H. Q. A. Abdulrab et al., "Hybrid Harris Hawks With Sine Cosine for Optimal Node Placement and Congestion Reduction in an Industrial Wireless Mesh Network," in IEEE Access, vol. 11, pp. 2500-2523, 2023, doi: 10.1109/ACCESS.2023.3234109.
[3]R. K. Vanakamamidi, C. P.M.S.S, D. D. N. Ponkumar and R. Senkamalavalli, "Peer to Peer Information Inter-Change and Network Coding to Improve Transmission Efficiency in Wireless Mesh Network," 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 1442-1446, doi: 10.1109/ICAISS58487.2023.10250464.
[4]N. Zlobinsky, D. L. Johnson, A. K. Mishra and A. A. Lysko, "Comparison of Metaheuristic Algorithms for Interface-Constrained Channel Assignment in a Hybrid Dynamic Spectrum Access – Wi-Fi Infrastructure WMN," in IEEE Access, vol. 10, pp. 26654-26680, 2022, doi: 10.1109/ACCESS.2022.3155642.
[5]Z. Nurlan, T. Z. Kokenovna, M. Othman and A. Adamova, "Resource Allocation Approach for Optimal Routing in IoT Wireless Mesh Networks," in IEEE Access, vol. 9, pp. 153926-153942, 2021, doi: 10.1109/ACCESS.2021.3123903.
[6]S. MekhmoukhTaleb, Y. Meraihi, A. B. Gabis, S. Mirjalili, A. Zaguia and A. Ramdane-Cherif, "Solving the Mesh Router Nodes Placement in Wireless Mesh Networks Using Coyote Optimization Algorithm," in IEEE Access, vol. 10, pp. 52744-52759, 2022, doi: 10.1109/ACCESS.2022.3166866.
[7]Y. Watanabe, Y. Kawamoto and N. Kato, "A Novel Routing Control Method Using Federated Learning in Large-Scale Wireless Mesh Networks," in IEEE Transactions on Wireless Communications, vol. 22, no. 12, pp. 9291-9300, Dec. 2023, doi: 10.1109/TWC.2023.3269785.
[8]S. Babu, P. V. Mithun and B. S. Manoj, "A Novel Framework for Resource Discovery and Self-Configuration in Software Defined Wireless Mesh Networks," in IEEE Transactions on Network and Service Management, vol. 17, no. 1, pp. 132-146, March 2020, doi: 10.1109/TNSM.2019.2922107.
[9]S. Mahajan, R. Harikrishnan and K. Kotecha, "Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm," in IEEE Access, vol. 10, pp. 107961-107979, 2022, doi: 10.1109/ACCESS.2022.3210993.
[10]Y. Chai and X. -J. Zeng, "Load Balancing Routing for Wireless Mesh Network With Energy Harvesting," in IEEE Communications Letters, vol. 24, no. 4, pp. 926-930, April 2020, doi: 10.1109/LCOMM.2020.2969194.
[11]J. Jiang, G. Han, H. Wang and M. Guizani, "A survey on location privacy protection in Wireless Sensor Networks", Journal of Network and Computer Applications, vol. 125, pp. 93-114, 2019.
[12]J. S. Loret and K. Vijayalakshmi, "Security enrichment with trust multipath routing and key management approach in WMN", IETE Journal of Research, vol. 64, no. 5, pp. 709-721, 2018.
[13]J. Jiang, G. Han, H. Wang and M. Guizani, "A survey on location privacy protection in Wireless Sensor Networks", Journal of Network and Computer Applications, vol. 125, pp. 93-114, 2019.
[14]Regan and J. M. L. Manickam, "An Optimized Energy Saving Model for Hybrid Security Protocol in WMN", National Academy Science Letters, vol. 42, no. 6, pp. 489-501, 2019.
[15]A. B. Usman and J. Gutierrez, "Toward trust based protocols in a pervasive and mobile computing environment: A survey", Ad Hoc Networks, vol. 81, pp. 143-159, 2018.
[16]K. Leevangtou, H. Ochiai and C. Aswakul, "Application of Q-learning in routing of software-defined wireless mesh network", IEEJ Trans. Electr. Electron. Eng., vol. 17, no. 3, pp. 387-397, Mar. 2022.
[17]Y. Chai and X.-J. Zeng, "Regional condition-aware hybrid routing protocol for hybrid wireless mesh network", Comput. Netw., vol. 148, pp. 120-128, Jan. 2019.
[18]B. Sahu, P. K. Das, M. R. Kabat and R. Kumar, "Prevention of COVID-19 affected patient using multi robot cooperation and Q-learning approach: A solution", Quality Quantity, vol. 56, no. 2, pp. 793-821, Apr. 2022.
[19]G. George, R. Karim Lakhani and P. Puranam, "What has changed? The impact of COVID pandemic on the technology and innovation management research agenda", J. Manag. Stud., vol. 57, no. 8, pp. 1-6, Dec. 2020.
[20]D. R. Militani, H. P. D. Moraes, R. L. Rosa, L. Wuttisittikulkij, M. A. Ramírez and D. Z. Rodríguez, "Enhanced routing algorithm based on reinforcement machine learning—A case of VoIP service", Sensors, vol. 21, pp. 1-32, Jan. 2021.
[21]Y. Chai and X.-J. Zeng, "The development of green wireless mesh network: A survey", J. Smart Environ. Green Comput., vol. 1, no. 1, pp. 47-59, Mar. 2021.
[22]R. Ding, Y. Xu, F. Gao, X. Shen and W. Wu, "Deep reinforcement learning for router selection in network with heavy traffic", IEEE Access, vol. 7, pp. 37109-37120, 2019.
[23]A. Cilfone, L. Davoli, L. Belli and G. Ferrari, "Wireless mesh networking: An IoT-oriented perspective survey on relevant technologies", Future Internet, vol. 11, no. 4, pp. 99, Apr. 2019.
[24]H. M. Haglan, S. A. Mostafa, N. Z. M. Safar, A. Mustapha, M. Z. Saringatb, H. Alhakami, et al., "Analyzing the impact of the number of nodes on the performance of the routing protocols in MANET environment", Bull. Electr. Eng. Informat., vol. 10, no. 1, pp. 434-440, Feb. 2021.
[25]M. M. A. Alkadhmi, O. N. Uçan and M. Ilyas, "An efficient and reliable routing method for hybrid mobile Ad hoc networks using deep reinforcement learning", Appl. Bionics Biomechanics, vol. 2020, pp. 1-13, Dec. 2020.