Energy Management and Network Traffic Avoidance Using GAODM and E-AODV Protocols in Mobile Ad-Hoc Network

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Ramesh Vatambeti 1,* Nrusingha Charan Pradhan 2 E. Sandhya 3 Surendra Reddy Vinta 1 V. Anbarasu 4 K. Venkateswara Rao 5

1. School of Computer Science and Engineering, VIT-AP University, Vijayawada-522237, India

2. Department of Electrical Engineering, Reykjavik University, 101 Reykjavik, Iceland

3. Department of Information Technology, Sree Vidyanikethan Engineering College, Tirupati-517102, India

4. Department of Networking and Communication, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu-603203, India

5. Department of Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad-501401, India

* Corresponding author.


Received: 17 Sep. 2022 / Revised: 1 Nov. 2022 / Accepted: 13 Dec. 2022 / Published: 8 Jun. 2023

Index Terms

MANET, GAODM, Intermediate Node, Congestion, Energy Consumption, Network Traffic


Because of the mobility of its nodes, MANET plays a significant role in mobile communication. As a result, network infrastructure is frequently changed, resulting in data loss and communication overheads. Despite this, the large packet size causes network congestion or traffic. The difficult task is efficient routing through a dynamic network. For node generation and energy management, the proposed approach in this paper employs GAODM (Geography-based Ad-hoc On Demand disjoint multipath) and E-AODM (Energy Ad-hoc On Demand Vector routing). The proposed GAODM routing protocol reduces congestion using Spider Monkey (SM) Optimization. The E- AODM protocol assesses the energy management solution based on parameters such as delay, energy consumption, routing overhead, and node energy. By choosing the best path through the network, the proposed protocol's effectiveness is increased. The proposed protocol reduces routing overload, delay, and congestion. The simulated results show that increasing the number of packets transmitted in the network using the proposed GAODM and E-AODM routing protocols over the existing protocols on NS 2 reduces node energy and, as a result, overload and delay.

Cite This Paper

Ramesh Vatambeti, Nrusingha Charan Pradhan, E. Sandhya, Surendra Reddy Vinta, V. Anbarasu, K. Venkateswara Rao, "Energy Management and Network Traffic Avoidance Using GAODM and E-AODV Protocols in Mobile Ad-Hoc Network", International Journal of Computer Network and Information Security(IJCNIS), Vol.15, No.3, pp.78-89, 2023. DOI:10.5815/ijcnis.2023.03.06


[1]Aravindhan, K., and C. Suresh Gnana Dhas. "Destination-aware context-based routing protocol with hybrid soft computing cluster algorithm for VANET." Soft Computing 23.8 (2019): 2499-2507.
[2]Bashir, Muhammad Nauman, and Kamaludin Mohamad Yusof. "Green Mesh Network of UAVs: A Survey of Energy Efficient Protocols across Physical, Data Link and Network Layers." 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC). IEEE, 2019.
[3]Moreno, Jaime, et al. "Distributed Learning Fractal Algorithm for Optimizing a Centralized Control Topology of Wireless Sensor Network Based on the Hilbert Curve L-System." Sensors 19.6 (2019): 1442.
[4]Makhlouf, Amel Meddeb, and Mohsen Guizani. "SE-AOMDV: secure and efficient AOMDV routing protocol for vehicular communications." International Journal of Information Security (2019): 1-12.
[5]Shakir, Hasan Awni, Ravie Chandren Muniyandi, and Zulkarnain Md Ali. "Energy consumption in mobile AD Hoc network: Challenges and solutions." Journal of Theoretical and Applied Information Technology 97.3 (2019):755-764.
[6]Arulkumaran, G., and R. K. Gnanamurthy. "Fuzzy trust approach for detecting black hole attack in mobile adhoc network." Mobile Networks and Applications 24.2 (2019): 386-393.
[7]Chen, Bo-Wei, et al. "Self-Aware Autonomous City: From Sensing to Planning." IEEE Communications Magazine 57.4 (2019): 33-39.
[8]Prakash, Shiva, and Vikas Saroj. "A Review of Wireless Charging Nodes in Wireless Sensor Networks." Data Science and Big Data Analytics. Springer, Singapore, 2019. 177-188.
[9]Guidara, Amir, et al. "Energy-Efficient On-Demand Indoor Localization Platform based on Wireless Sensor Networks using Low Power Wake up Receiver." Ad Hoc Networks (2019): 101902.
[10]Mann, Palvinder Singh, and Satvir Singh. "Improved artificial bee colony metaheuristic for energy-efficient clustering in wireless sensor networks." Artificial Intelligence Review 51.3 (2019): 329-354.
[11]Anagnostou, Patroklos, et al. "Energy and power awareness in hardware schedulers for energy harvesting IoT SoCs." Integration 67 (2019): 33-43.
[12]Boddu, N., Boba, V. & Vatambeti, R. A Novel Georouting Potency based Optimum Spider Monkey Approach for avoiding Congestion in Energy Efficient Mobile Ad-hoc Network. Wireless Pers Commun (2021).
[13]Singh, Gurjeet, and Vijay Dhir. "Performance Analysis of Adhoc on Demand Distance Vector (AODV) and Destination Sequence Routing (DSR) protocols in Mobile Adhoc Networks (MANET)." Global Journal of Computer Science and Technology (2018).
[14]Zhao, Zhongliang, et al. "Software-defined unmanned aerial vehicles networking for video dissemination services." Ad Hoc Networks 83 (2019): 68-77.
[15]Das, Santosh Kumar, and Sachin Tripathi. "Intelligent energy-aware efficient routing for MANET." Wireless Networks (2018): 1-21.
[16]Parlin, Karel, et al. "Transferring the Full-Duplex Radio Technology from Wireless Networking to Defense and Security." 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2018.
[17]Nosheen, Irum, Shoab A. Khan, and Fatima Khalique. "A mathematical model for cross layer protocol optimizing performance of software-defined radios in tactical networks." IEEE Access 7 (2019): 20520-20530.
[18]Yano, Kazuto, et al. "Achievable Throughput of Multiband Wireless LAN using Simultaneous Transmission over Multiple Primary Channels Assisted by Idle Length Prediction Based on PNN." 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2019.
[19]Weston, Jeffery H., and Eric N. Koski. "Communications device serving as transmission control protocol (TCP) proxy." U.S. Patent No. 9,967,077. 8 May 2018.
[20]Sowmya, M. C., Shish Ahmad, and Preetam Suman. "Congestion avoidance and control mechanisms for MANET using AODV protocol: a survey." International Journal of Advanced Research in Computer Science. Special Issue 2 (2018): 19.
[21]Bala, Suman, Er Amandeep Singh Bhandari, and Charanjit Singh. "Securing AODV Network from Gray Hole attack by Routing Information Protocol." International Journal 4.2 (2018).
[22]Robinson, Y. Harold, et al. "Neighbor Knowledge-based Rebroadcast algorithm for minimizing the routing overhead in Mobile Ad-hoc Networks." Ad Hoc Networks 93 (2019): 101896.
[23]Darabkh, Khalid A., Mohammad G. Alfawares, and Saud Althunibat. "MDRMA: Multi-Data Rate Mobility-Aware AODV-Based Protocol for Flying Ad-hoc Networks." Vehicular Communications (2019): 100163.
[24]Li, Peng, Lu Guo, and Fang Wang. "A Multipath Routing Protocol with Load Balancing and Energy Constraining Based on AOMDV in Ad Hoc Network." Mobile Networks and Applications (2019): 1-10.
[25]Vatambeti, R., Sanshi, S. & Krishna, D.P. An efficient clustering approach for optimized path selection and route maintenance in mobile ad hoc networks. J ambient Intell Human Comput (2021).
[26]Kavidha, V., and S. Ananthakumaran. "Novel energy-efficient secure routing protocol for wireless sensor networks with Mobile sink." Peer-to-Peer Networking and Applications (2018): 1-12.
[27]Raja, R., and P. Ganeshkumar. "QoSTRP: A Trusted Clustering Based Routing Protocol for Mobile Ad-Hoc Networks." Programming and Computer Software 44.6 (2018): 407-416.
[28]R. Vatambeti, “A novel wolf-based trust accumulation approach for preventing the malicious activities in mobile ad hoc network,” Wireless Personal Communications, vol. 113, no. 4, pp. 2141–2166, 2020.
[29]Arumugham, Kowshika, and Vivekanandan Chenniappan. "Least Mobility High Power (LMHP) Dynamic Routing for QoS Development in Manet." Wireless Personal Communications 105.1 (2019): 355-368.
[30]Akhtar, Nousheen, et al. "Congestion Avoidance for Smart Devices by Caching Information in MANETS and IoT." IEEE Access (2019).
[31]Robinson, Y. Harold, et al. "FD-AOMDV: fault-tolerant disjoint ad-hoc on-demand multipath distance vector routing algorithm in mobile ad-hoc networks." Journal of Ambient Intelligence and Humanized Computing (2019): 1-18.
[32]Prakasi, OS Gnana, and P. Varalakshmi. "Decision Tree Based Routing Protocol (DTRP) for Reliable Path in MANET." Wireless Personal Communications (2019): 1-14.
[33]Venu, Sivakumar, and AMJ Md Zubair Rahman. "Energy and cluster based efficient routing for broadcasting in mobile ad hoc networks." Cluster Computing (2018): 1-11.
[34]Varalakshmi S. “Trust Computation Using Bottom-Up Parser Approach In MANET”, Information Technology In Industry, 18;9(1): pp.1236-41, Mar 2021.