Skip to main content
Log in

HS–WOA–MANET: a hybrid meta-heuristic approach-based multi-objective constraints for energy efficient routing protocol in mobile ad hoc networks

  • Original Article
  • Published:
Journal of Reliable Intelligent Environments Aims and scope Submit manuscript

Abstract

A self-organizing, reconfigurable, and structure-less wireless network that provides intended communications without any radio infrastructure is called the mobile ad hoc network (MANETs). It is generally utilized in special outside occasions, locations, military surgeries, and natural disasters. In MANET, providing security is the primary issue because of the adoption of network structures. Moreover, the modifications in dynamic topologies expose the strike selection, such as routing, eavesdropping, and alteration of several programs. If MANET has several privacy and security issues, then it may surpass the quality of services (QoS). Hence, the security in MANET is guaranteed by using intrusion tracking approaches. This intrusion tracking system regulates the MANET in recognizing some other violation weaknesses. High protections are provided by detecting intrusions from the entire network, which includes attacks that are beyond the network layer. The nodes are not merely altered by the power collapse in the system, but it is also capable of transferring the packets in the network, which depends on the total system life. An effective routing protocol is designed to select the optimal paths for enhancing navigation in MANETs. Moreover, the terms secure routing and energy efficiency are critical problems when changing the network topology and limiting resources with this kind of network. A hybridized optimization-aided routing strategy is offered in this research work to provide an energy-efficient routing protocol. At the initial stage, the experimentation is conducted based on the sensor nodes in MANET. Since the existing models are ineffective in achieving high energy efficiency, the new routing protocol is developed by proposing the hybrid optimization algorithm. Accordingly, the suggested work is regarded for optimizing the shortest path in the routing model by using the Hybrid Sailfish Optimizer and Whale Optimization Algorithm (HS-WOA). To validate the network efficacy, the fitness function is formulated using diverse constraints like “energy consumption, remaining battery energy, link cost, energy cost per packet, path loss, Packet Delivery Ratio (PDR), throughput, end-to-delay, and routing overhead ratio”. Finally, a performance of the classical techniques with the developed model proves the better energy efficiency achieved by the developed model in MANET.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability statement

No new data were generated or analyzed in support of this research.

References

  1. Taha A, Alsaqour R, Uddin M, Abdelhaq M, Saba T (2017) Energy efficient multipath routing protocol for mobile ad-hoc network using the fitness function. IEEE Access 5:10369–10381

    Article  Google Scholar 

  2. Veeraiah N (2021) Trust aware secure energy efficient hybrid protocol for MANET. IEEE Access 9:120996–121005

    Article  MathSciNet  Google Scholar 

  3. Chandravanshi K, Soni G, Mishra DK (2022) Design and analysis of an energy-efficient load balancing and bandwidth aware adaptive multipath N-channel routing approach in MANET. IEEE Access 10:110003–110025

    Article  Google Scholar 

  4. Bhardwaj A, El-Ocla H (2020) Multipath routing protocol using genetic algorithm in mobile ad hoc networks. IEEE Access 8:177534–177548

    Article  Google Scholar 

  5. Jabbar WA, Saad WK, Ismail M (2018) MEQSA-OLSRv2: a multicriteria-based hybrid multipath protocol for energy-efficient and QoS-aware data routing in MANET-WSN Convergence Scenarios of IoT. IEEE Access 6:76546–76572

    Article  Google Scholar 

  6. Sarhan S, Sarhan S (2021) Elephant herding optimization ad hoc on-demand multipath distance vector routing protocol for MANET. IEEE Access 9:39489–39499

    Article  Google Scholar 

  7. Jiang H, Liu X, Xiao S, Tang C, Chen W Physarum-Inspired Autonomous Optimized Routing Protocol for Coal Mine MANET, Wireless Communications and Mobile Computing, vol. 2020, Article ID 8816718, pp. 14, 2020.

  8. Tamil Selvi P, Suresh GhanaDhas C (2019) A novel algorithm for enhancement of energy efficient zone based routing protocol for MANET. Mobile Netw Appl 24:307–317

    Article  Google Scholar 

  9. El-Hajj W, Al-Fuqaha A, Guizani M, Chen H-H (2009) On efficient network planning and routing in large-scale MANETs. IEEE Trans Veh Technol 58(7):3796–3801

    Article  Google Scholar 

  10. T. Watteyne, A. Molinaro, M. G. Richichi and M. Dohler, "From MANET To IETF ROLL Standardization: A Paradigm Shift in WSN Routing Protocols," IEEE Communications Surveys & Tutorials, vol. 13, no. 4, pp. 688–707, Fourth Quarter 2011.

  11. Lim S, Yu C, Das CR (2009) RandomCast: an energy-efficient communication scheme for mobile ad hoc networks. IEEE Trans Mob Comput 8(8):1039–1051

    Article  Google Scholar 

  12. Jin X, Zhang R, Sun J, Zhang Y (2014) TIGHT: a geographic routing protocol for cognitive radio mobile ad hoc networks. IEEE Trans Wireless Commun 13(8):4670–4681

    Article  Google Scholar 

  13. Hao S, Zhang H, Song M (2018) A stable and energy-efficient routing algorithm based on learning automata theory for MANET. J Commun Information Networks 3(2):43–57

    Article  Google Scholar 

  14. Zhang D, Yang Z, Raychoudhury V, Chen Z, Lloret J (2013) An energy-efficient routing protocol using movement trends in vehicular ad hoc networks. Comput J 56(8):938–946

    Article  Google Scholar 

  15. Srilakshmi U, Alghamdi SA, Vuyyuru VA, Veeraiah N, Alotaibi Y (2022) A secure optimization routing algorithm for mobile ad hoc networks. IEEE Access 10:14260–14269

    Article  Google Scholar 

  16. Jie Wu, Dai F (2006) Virtual backbone construction in MANETs using adjustable transmission ranges. IEEE Trans Mob Comput 5(9):1188–1200

    Article  Google Scholar 

  17. Shivashankar, H. N. Suresh, G. Varaprasad and G. Jayanthi, "Notice of Violation of IEEE Publication Principles: Designing Energy Routing Protocol With Power Consumption Optimization in MANET," IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 2, pp. 192–197, June 2014.

  18. Pattnaik PK, Panda BK, Sain M (2021) Design of novel mobility and obstacle-aware algorithm for optimal MANET routing. IEEE Access 9:110648–110657

    Article  Google Scholar 

  19. Dongkyun Kim, J. J. Garcia-Luna-Aceves, K. Obraczka, J. . -C. Cano and P. Manzoni, "Routing mechanisms for mobile ad hoc networks based on the energy drain rate," IEEE Transactions on Mobile Computing, vol. 2, no. 2, pp. 161–173, April-June 2003.

  20. He S, Li X, Chen J, Cheng P, Sun Y, Simplot-Ryl D (2013) EMD: energy-efficient P2P message dissemination in delay-tolerant wireless sensor and actor networks. IEEE J Sel Areas Commun 31(9):75–84

    Article  Google Scholar 

  21. C. -c. Chou, D. S. l. Wei, C. . -c. J. Kuo and K. Naik, "An efficient anonymous communication protocol for peer-to-peer applications over mobile ad-hoc networks," IEEE Journal on Selected Areas in Communications, vol. 25, no. 1, pp. 192–203, Jan. 2007.

  22. Khalaf OI, Ajesh F, Hamad AA, Nguyen GN, Le D-N (2020) Efficient dual-cooperative bait detection scheme for collaborative attackers on mobile ad-hoc networks. IEEE Access 8:227962–227969

    Article  Google Scholar 

  23. A. Muqattash and M. M. Krunz, "A distributed transmission power control protocol for mobile ad hoc networks," IEEE Transactions on Mobile Computing, vol. 3, no. 2, pp. 113–128, April-June 2004.

  24. Pu Gong, Thomas M. Chen, Quan Xu, "ETARP: An Energy Efficient Trust-Aware Routing Protocol for Wireless Sensor Networks", Journal of Sensors, vol. 2015, Article ID 469793, pp. 10, 2015.

  25. JiaYanfei, Chen Guangda, Zhao Liquan, "Energy-Efficient Routing Protocol Based on Zone for Heterogeneous Wireless Sensor Networks", Journal of Electrical and Computer Engineering, vol. 2021, Article ID 5557756, pp. 9, 2021.

  26. Shadravan S, Naji HR, Bardsiri V, K (2019) , The sailfish optimizer: a novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems. Eng Appl Artif Intell 80:20–34

  27. SeyedaliMirjalili and Andrew Lewis (2016) The whale optimization algorithm. Adv Eng Softw 95:51–67

    Article  Google Scholar 

  28. G Brammya, S Praveena, N S Ninu Preetha, R Ramya, B R Rajakumar, D Binu, "Deer Hunting Optimization Algorithm: A New Nature-Inspired Meta-heuristic Paradigm," The Computer Journal, 2019.

  29. Raed Abu Zitar, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Iyad Abu Doush & Khaled Assaleh, "An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications," Archives of Computational Methods in Engineering, vol. 29, pp.763–792, 2022.

  30. Mustafa Servet Kiran, "TSA: Tree-seed algorithm for continuous optimization, "Expert Systems with Applications," vol. 42, Issue 19, pp. 6686–66981, November 2015.

  31. Karthick K, Asokan R (2021) Mobility aware quality enhanced cluster based routing protocol for mobile ad-hoc networks using hybrid optimization algorithm. Wireless Pers Commun 119:3063–3087

    Article  Google Scholar 

  32. S. Harihara Gopalan "ZHRP-DCSEI, a Novel Hybrid Routing Protocol for Mobile Ad-hoc Networks to Optimize Energy Using Dynamic Cuckoo Search Algorithm," Wireless Personal Communications, vol. 118, pp. 3289–3301, 2021.

  33. T. Saravanan; N. Thillaiarasu "Optimal Grouping and Belief based CH selection in mobile ad-hoc network using Chunk Reliable Routing Protocol," 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2021.

  34. Jeyaraj D, Yesudhasan J, Aliar AAS (2023) Developing multi-path routing protocol in MANET using hybrid SM-CSBO based on novel multi-objective function. Int J Commun Syst 36(4):e5404

    Article  Google Scholar 

  35. Shafi S, Mounika S, Velliangiri S (2023) Machine learning and trust based AODV routing protocol to mitigate flooding and blackhole attacks in MANET, Procedia Computer Science 218: 2309-2318

  36. Krishnakumar V, Asokan R (2023) An energy efficient and QoS routing protocol for MANET realised over multi-objective red deer algorithm (RD-MOCER) in support of emergency disaster management. Int J Commun Syst 36(1):e5349

    Article  Google Scholar 

  37. Alsaeedi A H, Al-Sharqi MA, Alkafagi S S, Nuiaa RR, Ali Saeed D. Alfoudi, Manickam S, Mohsin Mahdi A, Otebolaku AM (2023) Hybrid Extend Particle Swarm Optimization (EPSO) model for Enhancing the performance of MANET Routing Protocols. J Al-Qadisiyah Comput Sci Math 15(1): 127–136.

  38. Reddy Yeruva A, Alomari ES, Rashmi S, Shrivastava A, Kathiravan M, Chaturvedi A (2023) A secure machine learning-based optimal routing in ad hoc networks for classifying and predicting vulnerabilities, Cybernet Syst.

Download references

Acknowledgements

I would like to express my very great appreciation to the co-authors of this manuscript for their valuable and constructive suggestions during the planning and development of this research work.

Funding

This research did not receive any specific funding.

Author information

Authors and Affiliations

Authors

Contributions

All authors have made substantial contributions to conception and design, revising the manuscript, and the final approval of the version to be published. Also, all authors agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to Subhrananda Goswami.

Ethics declarations

Competing interests

The authors declare no competing interests.

Conflict of interest

The authors declare that there is no conflict of interest.

Informed consent

Not applicable.

Ethical approval

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Goswami, S., Mondal, S., Johardar, S. et al. HS–WOA–MANET: a hybrid meta-heuristic approach-based multi-objective constraints for energy efficient routing protocol in mobile ad hoc networks. J Reliable Intell Environ (2024). https://doi.org/10.1007/s40860-023-00216-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40860-023-00216-6

Keywords

Navigation