Cost Optimization Approach for MANET using Particle Swarm Optimization

Article Sidebar

PDF
Published: Sep 20, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i8.7927
Keywords:
Distance vector routing, Particle swarm optimization, Throughput, End to End Delay, Routing load

Main Article Content

Vishal Polara
Research Scholar, Computer/IT engineering, Gujarat Technological University, Ahmedabad
Jagdish Rathod
Professor, Electronics engineering Department, BVM engineering college, Anand

Abstract

This paper present the approach require to increase the QoS of MANET network using particle swarm optimization algorithm. To improve data communication between two nodes we propose an efficient algorithm for AODV protocol using PSO where instead of suppling all default parameter with default value of AODV protocol we try to provide selective parameters with optimum value so that overall requirement of control packet get decrease that in turn result in to increase quality of service parameters of MANET. For the enhancement of reliability and reduction of cost, node speed control mechanism is implemented using PSO, The given method which is use for simulation, reduces the overall loss of data and also make transmission effective. We have also tested the performance of network by changing data rates and the speed of the node.

Article Details

How to Cite
Polara, V. ., & Rathod, J. . (2023). Cost Optimization Approach for MANET using Particle Swarm Optimization. International Journal on Recent and Innovation Trends in Computing and Communication, 11(8), 90–98. https://doi.org/10.17762/ijritcc.v11i8.7927
Issue
Vol. 11 No. 8 (2023)
Section
Articles

References

Roy, S., Mazumdar, N., & Pamula, R. (2021). An energy optimized and QoS concerned data gathering protocol for wireless sensor network using variable dimensional PSO. Ad Hoc Networks, 123. doi:10.1016/j.adhoc.2021.102669

Rajput, N. S., Banerjee, R., & Sanghi, D. (2021). Gokulakirshnan San- thanam, Kapil Singhal, "Swarm intelligence inspired meta-heuristics for solving multi-constraint QoS path problem in vehicular ad hoc networks", Adhoc Network Journal, 123. doi:10.1016/j.adhoc.2021.102633

Sharma, A. S., & Kim, D. S. (2021). Energy efficient multipath ant colony based routing algorithm for mobile ad hoc networks. Adhoc Network Journal, 113. doi:10.1016/j.adhoc.2021.102396

Singh, M., & Soni, S. K. (2021). Network lifetime enhancement of WSN using correlation model and node selection algorithm. Adhoc Network Jour NAL, 114. doi:10.1016/j.adhoc.2021.102441

Saini, T. K., & Sharma, S. C. (2020). Recent advancements, review analysis, and extensions of the AODV with the illustration of the applied concept. Ad Hoc Networks, 103. doi:10.1016/j.adhoc.2020.102148

Guo, K., & Lv, Y. (2020). Optimizing routing path selection method particle swarm optimization. International Journal of Pattern Recognition and Artificial Intelligence, 34(12). doi:10.1142/S0218001420590429

Abdali, T.-A. N., & Rosilah, H. (2020). Optimized Particle Swarm Optimization Algorithm for the Realization of an Enhanced Energy-Aware Location- Aided Routing Protocol in MANET. In MDPI. doi:10.3390/info11110529

bin Saion, M. P. . (2021). Simulating Leakage Impact on Steel Industrial System Functionality. International Journal of New Practices in Management and Engineering, 10(03), 12–15. https://doi.org/10.17762/ijnpme.v10i03.129

Verma, S. K., & Gupta, N. K. (2020). Energy Optimized Routing Protocol Based on Binary Particle Swarm Optimization successive Interference Cancellation for WSN. IJITEE, ISSN, 9(4, February), 2278–3075.

Kim, B.-S., & Ullah, S. (2020). An enhanced geographical routing protocol based on multi-criteria decision making method in mobile ad-hoc networks. In Ad- hoc. Network Journal, 103.

Kameswara Rao, B., & Chakravarthy, A. S. N. (2019). Optimized AODV Routing Algorithm in MANET for Maximizing the Network Lifetime. In IJRTE, ISSN, 8(2, July), 2277- 3878.

Sivanantham, S., Balakrishnan, G., Jaidev, M., & Mahesh, S. (2019). Efficient and Opportunistic Routing in MANET using Link Lifetime Prediction. In ICOEI.

Anish, K., Yamini, P., Suthendran, K., & Arivoli, T. (2019). Power Optimized Cross Layer design based Protocol for Performance Enhancement in MANETs. IEEE Publications.

Dixit, S., & Singhai, R. (2019). Security Improvement of AODV Routing Protocol through IPSO-IDRS Mechanism for ad-hoc Networks. International Journal of Innovative Technology and Exploring Engineering, 8(12), 1009–1015. doi:10.35940/ijitee.K1489.1081219

Anthony Thompson, Anthony Walker, Luis Pérez , Luis Gonzalez, Andrés González. Machine Learning-based Recommender Systems for Educational Resources. Kuwait Journal of Machine Learning, 2(2). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/181

Jagadev, N., & Pattanayak, B. K. (2019). Power aware routing for MANET using PSO. IJITEE, ISSN, 8(6, April), 2278–3075.

Aini, Q. (May 2019). A Route Discovery of Dynamic Wireless Network Using Particle Swarm Optimization. Journal of Communications, 368–374. doi:10.12720/jcm.14.5.368-374

Gupta, A., & Jha, S. (2019). Adaptive PSO-based routing protocol for mobile ad hoc networks. International Journal of Communication Networks and Distributed Systems, 22(3), 187-198.

Wang, H., Cao, L., & Ma, J. (2019). Security analysis of PSO-based MANETs. Wireless Personal Communications, 108(1), 467-483.

Bhandari, A., & Pandey, B. (2019). A PSO-based approach for enhancing security in MANETs. Journal of Computer Science and Technology, 19(4), 557-565.

Roy, A., Das, S., & Das, A. (2019). PSO-based fault-tolerant routing in MANETs. Journal of Network and Computer Applications, 141, 84-95.

Song, M., Liu, J., & Yang, S. (2018). A mobility prediction and delay prediction routing protocol for UAV networks. IEEE Publications. doi:10.1109/WCSP.2018.8555927

Chaudhry, R., Tapaswi, S., & Kumar, N. (2018). Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET. Applied Intelligence, 48(9), 3053–3080. Doi: 10.1007/s10489-017-1127-5.

Prakash, C., & Agarwal, N. (2018). A PSO-based clustering approach for improving MANET performance. International Journal of Computer Science and Network Security, 18(7), 173-180.

Whangkuanklang, V. ., Siangdang, Y. ., Kampagdee, M. ., Akkarakultron, P. ., Supamattra, S. ., Phasinam, K. ., & Watcharinrat, D. . (2023). An Scientific Approach of Design and Development of a Garlic Peeling Machine. International Journal of Intelligent Systems and Applications in Engineering, 11(3s), 115–118. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2548

Devi, K. R., & Singh, S. (2018). Performance evaluation of PSO-based routing in MANETs. Journal of Wireless Communications and Mobile Computing, 16(12), 1347-1359.

Agarwal, P., & Sharma, R. (2018). PSO-based multi-objective optimization for MA-NETs. International Journal of Advanced Research in Computer Science, 9(5), 110-117.

Mandal, S., Bhattacharya, A., & Ghosh, S. (2018). Load balancing using PSO in MANETs. Journal of Ambient Intelligence and Humanized Computing, 9(5), 1779–1790.

Kaur, S., & Kumar, M. (2017). PSO-based QoS routing in MANETs. Procedia Computer Science, 115, 108-114.

Saha, S., Chakraborty, S., & Ghosh, S. (2017). PSO-based cross-layer routing in MA-NETs. International Journal of Ad Hoc and Ubiquitous Computing, 24(2-3), 166-178.

Ghosh, S., Pradhan, C., & Das, S. (2017). PSO-based optimized routing in MANETs. International Journal of Ad Hoc and Ubiquitous Computing, 25(4), 285-296.