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IEEHR: Improved Energy Efficient Honeycomb Based Routing in MANET for Improving Network Performance and Longevity

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Abstract

In present scenario, efficient energy conservation has been the greatest focus in Mobile Adhoc Networks (MANETs). Typically, the energy consumption rate of dense networks is to be reduced by proper topological management. Honeycomb based model is an efficient parallel computing technique, which can manage the topological structures in a promising manner. Moreover, discovering optimal routes in MANET is the most significant task, to be considered with energy efficiency. With that motive, this paper presents a model called Improved Energy Efficient Honeycomb based Routing (IEEHR) in MANET. The model combines the Honeycomb based area coverage with Location-Aided Routing (LAR), thereby reducing the broadcasting range during the process of path finding. In addition to optimal routing, energy has to be effectively utilized in MANET, since the mobile nodes have energy constraints. When the energy is effectively consumed in a network, the network performance and the network longevity will be increased in respective manner. Here, more amount of energy is preserved during the sleeping state of the mobile nodes, which are further consumed during the process of optimal routing. The designed model has been implemented and analyzed with NS-2 Network Simulator based on the performance factors such as Energy Efficiency, Transmission Delay, Packet Delivery Ratio and Network Lifetime.

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References

  1. Sun, W., Yang, Z., Zhang, X., & Liu, Y. (2014). Energy-efficient neighbor discovery in mobile ad hoc and wireless sensor networks: A survey. IEEE Communication Surveys And Tutorials, 16, 1448–1459.

    Article  Google Scholar 

  2. Satyabarta, C., & Mishra, A. (2001). QoS issues in ad hoc wireless networks. IEEE Communications Magazine, 39(2), 142–148.

    Article  Google Scholar 

  3. Zhang, H., Wang, X., Memarmoshrefi, P., & Hogrefe, D. (2017). A survey of ant colony optimization based routing protocols for mobile ad hoc networks. IEEE Access: Practical Innovations, Open Solutions, 5, 24139–24161.

    Article  Google Scholar 

  4. Polastre, J., Szewczyk, R., Mainwaring, A., Culler, D., & Anderson, J. (2004). Analysis of wireless sensor networks for habitat monitoring. In Wireless Sensor Networks (pp. 399–423). Springer.

    Google Scholar 

  5. Liu, Y., Mao, X., He, Y., Liu, K., Gong, W., & Wang, J. (2013). CitySee: Not only a wireless sensor network. IEEE Network, 27, 42–47.

    Article  Google Scholar 

  6. Yang, Z., Li, M., & Liu, Y. (2007). Sea depth measurement with restricted floating sensors. In Proceedings of the 28th IEEE international real-time systems symposium (RTSS 2007), Tucson, AZ, USA, 3–6 December (pp. 469–478).

  7. Huang, J. H., Amjad, S., & Mishra, S. (2005). Cenwits: A sensor-based loosely coupled search and rescue system using witnesses. In Proceedings of the 3rd international conference on embedded networked sensor systems, San Diego, CA, USA, 2–4 November 2005 (pp. 180–191). ACM.

  8. Tseng, Y. C., Hsu, C. S., & Hsieh, T. Y. (2003). Power-saving protocols for IEEE 802.11-based multi-hop ad hoc networks. Computer Networks, 43, 317–337.

    Article  MATH  Google Scholar 

  9. Ko, Y., & Vaidya, N. (1998). Location-aided routing (LAR) in Mobile Ad- Hoc Networks. In Proceedings of the ACM/IEEE international conference on mobile computing and networking (MOBICOM’98) (pp. 66–75)

  10. Xu, Y., Heidemann, J., & Estrin, D. (2001). Geography informed energy conservation for ad-hoc routing. In Proceedings of 7th annual international conference on mobile computing and networking (pp. 70–84).

  11. Trung, H., Benjapolakul W., & Duc, P. (2007). Performance evaluation and comparison of different ad- hoc routing protocols. Science Direct Journal on Computer Communication 30, 2478–2496

  12. Basurra, S. S., De Vos, M., Padget, J., Yusheng, J., Lewis, T. & Armour, S. (2015). Energy efficient zone based routing protocol for MANETs. Ad Hoc Networks, 25, 16–37.

    Article  Google Scholar 

  13. Bhanumathi, V., & Dhanasekaran, R. (2015). Efficient data transfer in mobile ad-hoc network using OPSM for disaster response applications. Journal of Applied Research and Technology, 13(3), 392–401.

    Article  Google Scholar 

  14. Raj, P. P., & Krishnan, K. (2015). A novel energy efficient routing for data intensive MANETs, International Journal on Recent and Innovation Trends in Computing and Communication, 3(8), 5318–5321.

  15. Zhang, D., Linqiang, G., Hardy, R., Yu, W., Zhang, H., & Reschly, R. (2013). On effective data aggregation techniques in host-based intrusion detection in MANET. In Consumer Communications and Networking Conference (CCNC), IEEE, Las Vegas, NV (pp. 85–90).

  16. Guerriero, F., De Rango, F., Marano, S., & Bruno, E. (2009). A biobjective optimization model for routing in mobile ad hoc networks. Applied Mathematical Modelling, 33(3), 1493–1512.

  17. Rout, S., Turuk, A. K. &. Sahoo, B. (2012). Energy aware routing protocol in MANET using power efficient topology control method. International Journal of Computer Applications, 43(5), 33–42.

  18. Wang, Y.,  Chen, I. R., Cho, J. H., Swami, A., Chan, K. S. (2017). Trust-based service composition and binding with multiple objective optimization in service-oriented mobile ad hoc networks. IEEE Transactions on Services Computing, 10(4), 660–672.

    Article  Google Scholar 

  19. Robinson, Y. H., & Rajaram, M. (2015). Energy-aware multipath routing scheme based on particle swarm optimization in mobile ad hoc networks. The Scientific World Journal, article id 284276, 1–6.

    Google Scholar 

  20. Sajal, S., Datta, R. (2017). Mobility-aware route selection technique for mobile ad hoc networks. IET Wireless Sensor Systems, 7(3), 55–64.

    Article  Google Scholar 

  21. Fu, H., Wang, X., & Li, Y. (2010). Adaptive energy and location aware routing in wireless sensor network. In Proceedings of the 5th international conference on wireless algorithms, systems, and applications (WASA’10).

  22. Chouhan, A., Sunil, P. & Richhariya, V. (2015). Permutation based k-means clustering approach for energy conservation in MANETs, International Journal of Computer Applications, 127(3), 20–25.

  23. Cheng, S. T., Li, J. P., Horng, G. J. (2013). An adaptive cluster-based routing mechanism for energy conservation in mobile ad hoc networks. Wireless Personal Communications70(2), 561–579.

  24. Wu, J., & Dai, F. (2006). Mobility-sensitive topology control in mobile ad hoc networks. IEEE Transactions on Parallel and Distributed Systems, 17(6), 552 – 535.

  25. Ko, Y., & Vaidya, N. (1998). Location-aided routing (LAR) in Mobile Ad- Hoc Networks. In Proceedings of the ACM/IEEE international conference on mobile computing and networking (MOBICOM’98) (pp. 66–75).

  26. Trung, H., Benjapolakul, W., & Duc, P. (2007). Performance evaluation and comparison of different Ad-Hoc routing protocols. Computer Communications, 30, 2478–2496.

  27. Liu, R. P., Rogers, G., & Zhou, S. (2006). In WSN14-3: Honeycomb architecture for energy conservation in wireless sensor networks. IEEE Globecom 2006, San Francisco, CA, USA (pp. 1–5).

  28. Visalakshi, P., & Dhanapal, R. (2016). Optimizing trust based secure routing for unified efficient resource sharing for large scale MANET-TSRRS. Asian Journal of Information Technology, 5(19), 3756–3762.

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Authors and Affiliations

  1. VIT Bhopal University, Bhopal-Indore Highway 18, Kothrikalan, Sehore, Madhya Pradesh, 466114, India

    A. Baseera

  2. School of Computer Science Engineering, VIT-AP University Beside AP Secretariat, Near Vijayawada, Andhra Pradesh, India

    Hari Kishan Kondaveeti

  3. School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India

    S. Gopikrishnan

  4. Department of Computer Science and Engineering, Faculty of Engineering, CHRIST (Deemed to be University) Kengeri Campus, Mysore Road, Kanmanike, Kumbalgodu, Bangalore, Karnataka, 560074, India

    B. J. Bejoy

  5. Department of CSE, Vivekanandha College of Technology for Women, Tiruchengode, India

    C. G. Ravichandran

  6. Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, 641021, India

    R. Santhosh & R. Dhanapal

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  1. A. Baseera
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  2. Hari Kishan Kondaveeti
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  3. S. Gopikrishnan
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  4. B. J. Bejoy
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  5. C. G. Ravichandran
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  6. R. Santhosh
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  7. R. Dhanapal
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Correspondence to A. Baseera.

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Baseera, A., Kondaveeti, H.K., Gopikrishnan, S. et al. IEEHR: Improved Energy Efficient Honeycomb Based Routing in MANET for Improving Network Performance and Longevity. Wireless Pers Commun 129, 1753–1769 (2023). https://doi.org/10.1007/s11277-023-10206-9

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  • DOI: https://doi.org/10.1007/s11277-023-10206-9

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