Energy Aware Routing through Genetic Algorithm and AOMDV in MANET

Authors

  • G. Balu Narasimha Rao Research Scholar, Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, 522502,
  • Asesh Kumar Tripathy Assistant Professor, Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, 522502

Keywords:

Genetic Algorithm, shortest path, optimal route, Fitness value, congestion, and energy

Abstract

A MANET is an accumulation of different radioed-on-the-air hardware devices connected together temporarily based on the transmission range in the absence of any framework. Energy is the major factor to utilize efficiently to enlarge the longevity of the network as a result, nodes contain mobility that cannot provide continuous energy. Each mobile node will get energy from the power unit which will be depleted in a short time due to the movement of a node, Continuous transmissions, and finding the path. Also heavy loss of data while transmission because of collisions in the network. Heavy loss of data will result in slowing down the packet delivery during the transmission. Here we render the serious problems in the infrastructure-less wireless network. We proposed a new optimized Genetic Algorithm(GA) with the assistance of suitable methods i.e. FF to procure the optimum route against all the possible multiple routes with the help of Ad-hoc On Demand Multi Path Distance Vector routing protocol (AOMDV). We also merged with optimized Genetic Algorithm with one of the finest multi-path routing protocols named GA-AOMDV. These techniques are furnished to select the optimum path in accordance with the distance between the wireless devices i.e. shortest path, high fitness value, congestion in the network, and utilization of the energy. The performance of the suggested technique was collated with the other suitable protocols.

Downloads

Download data is not yet available.

References

Feng, Daquan, Chenzi Jiang, Gubong Lim, Leonard J. Cimini, Gang Feng, and Geoffrey Ye Li. "A survey of energy-efficient wireless communications." IEEE Communications Surveys & Tutorials 15, no. 1 (2012): 167-178.

Li, Jirui, Xiaoyong Li, Yunquan Gao, Yali Gao, and Rui Zhang. "Dynamic cloudlet-assisted energy-saving routing mechanism for mobile ad hoc networks." IEEE Access 5 (2017):20908-20920.

Er-rouidi, Mohamed, Houda Moudni, Hicham Mouncif, and Abdelkrim Merbouha. "A balanced energy consumption in mobile ad hoc network." Procedia Computer Science 151 (2019): 1182-1187.

Akhtar, Auon Muhammad, Mohammad Reza Nakhai, and A. Hamid Aghvami. "Power aware cooperative routing in wireless mesh networks." IEEE Communications Letters 16,no.5(2012):670-673.

Pal, Pankaj, Sachin Tripathi, and Chiranjeev Kumar. "Bandwidth estimation in high mobility scenarios of IEEE 802.11 infrastructure‐less mobile ad hoc networks." International Journal of Communication Systems 32, no. 15 (2019): e4080.

Saedi, Taha, and Hosam El-Ocla. "Improving throughput in lossy Wired/Wireless networks." Wireless Personal Communications 114 (2020): 2315-2326.

Marina, Mahesh K., and Samir R. Das. "On-demand multipath distance vector routing in ad hoc networks." In Proceedings ninth international conference on network protocols. ICNP 2001, pp. 14-23. IEEE, 2001.

Hassanat, Ahmad, Khalid Almohammadi, Esra’A. Alkafaween, Eman Abunawas, Awni Hammouri, and VB Surya Prasath. "Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach." Information 10, no. 12 (2019): 390.

Chen, Huan, Chaowei Wang, Fan Jiang, and Weidong Wang. "Energy Aware AOMDV Routing Based on Constrained Queue Length in MANET." In 2023 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6. IEEE, 2023.

Shah, Nishit Manishbhai, Hosam El-Ocla, and Pearly Dipil Shah. "Routing Protocol in Mobile Ad Hoc Networks based on Energy Consumption." In 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS), pp. 287-291. IEEE, 2023.

Saxena, Madhvi, Subrata Dutta, B. K. Singh, and Sarmistha Neogy. "Multi-objective Based Route Selection Approach Using AOMDV in MANET." SN Computer Science 4, no. 5 (2023): 581.

Shah, Nishit, Hosam El-Ocla, and Pearly Shah. "Adaptive Routing Protocol in Mobile Ad-Hoc Networks Using Genetic Algorithm." IEEE Access 10 (2022): 132949-132964.

Alghamdi, Saleh A. "Load balancing maximal minimal nodal residual energy ad hoc on-demand multipath distance vector routing protocol (LBMMRE-AOMDV)." Wireless networks 22, no. 4 (2016): 1355-1363.

Baboo, S. Santhosh, and B. Narasimhan. "Genetic algorithm based congestion aware routing protocol (GA-CARP) for mobile ad hoc networks." Procedia Technology 4 (2012): 177-181.

Deshpande, Aniket. "Efficient TCP Performance In Ad-Hoc Networks Using Novel Hybrid Ad Hoc Collective Space Direction-Genetic-Algorithm." DOI:10.34218/IJARET.12.4.2021.033

Sathya Priya, S., and K. Murugan. "Enhancing TCP fairness in wireless networks using dual queue approach with optimal queue selection." Wireless Personal Communications 83 (2015): 1359-1372.

Banerjee, Anuradha, and Shirshadipta Chowdhury. "Expected residual lifetime based ad hoc on-demand multipath routing protocol (ERL-AOMDV) in mobile ad hoc networks." International Journal of Information Technology 11 (2019): 727-733.

Shawara, Mahmoud M., Amany M. Sarhan, and Nawal A. Elfishawy. "Energy aware ad-hoc on demand multipath distance vector (EA-AOMDV)." In 2017 13th International Computer Engineering Conference (ICENCO), pp. 317-322. IEEE, 2017.

Sharma, Bhavna, Shaila Chugh, and Vismay Jain. "Energy efficient load balancing approach to improve AOMDV routing in MANET." In 2014 fourth international conference on communication systems and network technologies, pp. 187-192. IEEE, 2014.

Guo, Lu, and Peng Li. "A improved AOMDV routing protocol based on load balancing with energy constraining for ad hoc network." In Green Energy and Networking: 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings 6, pp. 114-119. Springer International Publishing, 2019.

Nabati, Mohammad, Mohsen Maadani, and Mohammad Ali Pourmina. "AGEN-AODV: an intelligent energy-aware routing protocol for heterogeneous mobile ad-hoc networks." Mobile Networks and Applications (2021): 1-12.

Brindha, C. K., S. K. Nivetha, and R. Asokan. "Energy efficient multi-metric QoS routing using genetic algorithm in MANET." In 2014 International Conference on Electronics and Communication Systems (ICECS), pp. 1-6 .IEEE,2014.

Dhurandher, Sanjay K., Deepak Kumar Sharma, Isaac Woungang, Rohan Gupta, and Sanjay Garg. "GAER: genetic algorithm-based energy-efficient routing protocol for infrastructure-less opportunistic networks." The Journal of Supercomputing 69 (2014): 1183-1214.

Papanna, N., A. Rama Mohan Reddy, and M. Seetha. "EELAM: Energy efficient lifetime aware multicast route selection for mobile ad hoc networks." Applied Computing and Informatics 15, no. 2 (2019): 120-128.

Farsi, Mohammed, Mahmoud Badawy, Mona Moustafa, Hesham Arafat Ali, and Yousry Abdulazeem. "A congestion-aware clustering and routing (CCR) protocol for mitigating congestion in WSN." IEEE Access 7 (2019):105402-105419.

Downloads

Published

13.12.2023

How to Cite

Rao, G. B. N. ., & Kumar Tripathy , A. . (2023). Energy Aware Routing through Genetic Algorithm and AOMDV in MANET. International Journal of Intelligent Systems and Applications in Engineering, 12(8s), 435–441. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4143

Issue

Section

Research Article