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Energy Efficient QoS Aware Hierarchical KF-MAC Routing Protocol in Manet

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Abstract

The paper proposes an energy efficient quality of services (QoS) aware hierarchical KF-MAC routing protocol in mobile ad-hoc networks. The proposed KF-MAC (K-means cluster formation firefly cluster head selection based MAC routing) protocol reduces the concentration of QoS parameters when the node transmits data from source to destination. At first, K-means clustering technique is utilized for clustering the network into nodes. Then the clustered nodes are classified and optimized by the firefly optimization algorithm to find cluster heads for the clustered nodes. The transmission of data begins in the network nodes and TDMA based MAC routing does communication. The observation on KF-MAC protocol performs well for QoS parameters such as bandwidth, delay, bit error rate and jitter. The evaluation of proposed protocol based on a simulation study concludes that the proposed protocol provides a better result in contrast to the existing fuzzy based energy aware routing protocol and modified dynamic source routing protocol. With KF-MAC protocol, the collision free data transmission with low average energy consumption is achieved.

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References

  1. Zhang, X. M., Wang, E. B., Xia, J., & Sung, D. K. (2013). A neighbor coverage-based probabilistic rebroadcast for reducing routing overhead in mobile ad hoc networks. IEEE Transactions on Mobile Computing, 12(3), 424–433.

    Article  Google Scholar 

  2. Conti, M., & Giordano, S. (2014). Mobile ad hoc networking, milestones, challenges, and new research directions. IEEE Communications Magazine, 52(1), 85–96.

    Article  Google Scholar 

  3. Rao, M., & Singh, N. (2014). An improved routing protocol (AODV nth BR) for efficient routing in MANETs. Advanced Computing, Networking and Informatics, 2(1), 215–223.

    Article  Google Scholar 

  4. Ting, L., & Zhu, J. (2013). Genetic algorithm for energy-efficient QoS multicast routing. IEEE Communications Letters, 17(1), 31–34.

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  6. Rao, M., & Singh, N. (2014). Quality of service enhancement in MANETs with an efficient routing algorithm. IEEE International Advance Computing Conference (IACC), 1(1), 381–384.

    Article  Google Scholar 

  7. Das, S. K., & Tripathi, S. (2016). Intelligent energy-aware efficient routing for MANET (pp. 1–21). Wireless Networks: Springer.

    Google Scholar 

  8. Nayak, K., & Gupta, N. (2015). Energy efficient consumption based performance of AODV, DSR and ZRP routing protocol in MANET. International Journal of Engineering and Innovative Technology (IJEIT), Energy, 4(11), 82–90.

    Google Scholar 

  9. Lupia, A., & De Rango, F. (2015). Evaluation of the energy consumption introduced by a trust management scheme on mobile ad hoc networks. JNW, 10(4), 240–251.

    Article  Google Scholar 

  10. Mohammad, A. A. K., Mirza, A., & Vemuru, S. (2016). Energy aware routing for manets based on current processing state of nodes. Journal of Theoretical and Applied Information Technology, 91(2), 340.

    Google Scholar 

  11. Macone, D., Oddi, G., & Pietrabissa, A. (2013). MQ-routing, mobility-, GPS-and energy-aware routing protocol in MANETs for disaster relief scenarios. Ad Hoc Networks, 11(3), 861–878.

    Article  Google Scholar 

  12. Sharma, C., & Kaur, J. (2015). Literature survey of AODV and DSR reactive routing protocols. International Journal of Computer Applications (IJCA), 3(7), 14–17.

    Article  Google Scholar 

  13. Sharma, V., Singh, H., Kaur, M., & Banga, V. (2013). Performance evaluation of reactive routing protocols in MANET networks using GSM based voice traffic applications. Optik-International Journal for Light and Electron Optics, 124(15), 2013–2016.

    Article  Google Scholar 

  14. Varshney, P. K., Agrawal, G. S., & Sharma, S. K. (2016). Relative performance analysis of proactive routing protocols in wireless ad hoc networks using varying node density. Invertis Journal of Science & Technology, 9(3), 161–169.

    Article  Google Scholar 

  15. Dhenakaran, S. S., & Parvathavarthini, A. (2013). An overview of routing protocols in mobile ad-hoc network. International Journal of Advanced Research in Computer Science and Software Engineering, 3(2), 251–259.

    Google Scholar 

  16. Ravi, G., & Reemlus, J. D. (2014). Energy aware routing for adhoc networks using dynamic path switching. International Journal of Ad Hoc, Sensor & Ubiquitous Computing, 5(3), 1.

    Article  Google Scholar 

  17. Aggarwal, A., Gandhi, S., & Chaubey, N. (2014). Performance analysis of AODV, DSDV and DSR in MANETS. ArXiv preprint http://arxiv.org/abs/1402.2217, 2(6), 167–168.

  18. Mounica, M., & Kumar, S. V. (2015). Multicast routing In MANETS. International Journal of Science Engineering and Advance Technology, IJSEAT, 3(10), 694–697.

    Google Scholar 

  19. Abdulwahid, H., Dai, B., Huang, B., & Chen, Z. (2016). Scheduled-links multicast routing protocol in MANETs. Journal of Network and Computer Applications, 63, 56–67.

    Article  Google Scholar 

  20. Subramaniam, K., & Tamilselvan, L. (2015). Predictive energy efficient and reliable multicast routing in MANET. Research Journal of Applied Sciences, Engineering and Technology, 9(9), 706–714.

    Article  Google Scholar 

  21. Weiqiang, X., Cheng, W., Zhang, Y., Shi, Q., & Wang, X. (2017). On the optimization model for multi-hop information transmission and energy transfer in TDMA-based wireless sensor networks. IEEE Communications Letters, 21(5), 1095–1098.

    Article  Google Scholar 

  22. Mohsin, A. H., Bakar, K. A., & Zainal, A. (2017). Optimal control overhead based multi-metric routing for MANET. Wireless Networks, 3(12), 1–17.

    Google Scholar 

  23. Muthusenthil, B., & Murugavalli, S. (2017). Privacy preservation and protection for cluster based geographic routing protocol in MANET. Wireless Networks, 23(1), 79–87.

    Article  Google Scholar 

  24. Gomathi, K., Parvathavarthini, B., & Saravanakumar, C. (2017). An efficient secure group communication in MANET using fuzzy trust based clustering and hierarchical distributed group key management. Wireless Personal Communications, 97(4), 1–14.

    Google Scholar 

  25. Ubarhande, S. D., Doye, D. D., & Nalwade, P. S. (2017). A secure path selection scheme for mobile ad hoc network. Wireless Personal Communications, 97(2), 1–10.

    Article  Google Scholar 

  26. Yarnagula, H. K., Deka, S. K., & Sarma, N. (2017). A cross-layer based location-aware forwarding using distributed TDMA MAC for ad-hoc cognitive radio networks. Wireless Personal Communications, 95(4), 1–18.

    Article  Google Scholar 

  27. Suresh, H. N., Varaprasad, G., & Jayanthi, G. (2014). Notice of violation of IEEE publication principles designing energy routing protocol with power consumption optimization in MANET. IEEE Transactions on Emerging Topics in Computing, 2(2), 192–197.

    Article  Google Scholar 

  28. Varaprasad, G., & Narayanagowda, S. H. (2014). Implementing a new power aware routing algorithm based on existing dynamic source routing protocol for mobile ad hoc networks. IEEE, IET Networks, 3(2), 137–142.

    Article  Google Scholar 

  29. Li, X., Liu, T., Liu, Y., & Tang, Y. (2014). Optimized multicast routing algorithm based on tree structure in MANETs. IEEE, China Communications, 11(2), 90–99.

    Article  Google Scholar 

  30. Jain, J., Gupta, R., & Tushar, B. K. (2014). Performance analysis of proposed local link repair schemes for ad hoc on demand distance vector. IEEE, IET Networks, 3(2), 129–136.

    Article  Google Scholar 

  31. Krishna, V. P., Saritha, V., Vedha, G., Bhiwal, A., & Chawla, A. S. (2012). Quality-of-service-enabled ant colony-based multipath routing for mobile ad hoc networks. IET Communications, 6(1), 76–83.

    Article  MathSciNet  MATH  Google Scholar 

  32. Elangasinghe, M. A., Singhal, N., Dirks, K. N., Salmond, J. A., & Samarasinghe, S. (2014). Complex time series analysis of PM 10 and PM 2.5 for a coastal site using artificial neural network modeling and k-means clustering. Atmospheric Environment, 94, 106–116.

    Article  Google Scholar 

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Correspondence to Meena Rao.

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Rao, M., Singh, N. Energy Efficient QoS Aware Hierarchical KF-MAC Routing Protocol in Manet. Wireless Pers Commun 101, 635–648 (2018). https://doi.org/10.1007/s11277-018-5708-3

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