Cluster Computing

, Volume 22, Supplement 5, pp 12373–12379 | Cite as

Power orient efficient multi attribute data rate maintenance scheme for QoS development of wireless networks

  • S. UmaEmail author
  • P. Sarasu


The modern applications requires higher data rate which has been supported by 4G networks. Maintaining data rate in such networks and application has many challenges. There are number of approaches has been discussed earlier but suffer to achieve the required performance. To handle this issue, an multi attribute data rate maintenance scheme has been discussed in this paper. The method monitors the connectivity and power in establishing connection and data transmission. Based on those factors, the method estimates the possible data rate could be achieved. The method estimates the data rate support measure for the LTE signals. Based on the data rate support measure, the method fluctuates between LTE and BLE transmission. The proposed method improves the performance of data rate maintenance and produces efficient results.


LTE BLE Data rate Wireless networks Power efficient transmission MADRM 


  1. 1.
    Lin, H.P. et al.: Integrating BLIP into location-aware system: a service-oriented method. In: Proceedings of 4th International Conference on Computer Sciences and Convergence Information Technology, (2009).
  2. 2.
    Ndie, T., Tangha, C., Sangbong, T., Kufor, A.: Mobile applications provisioning using Bluetooth wireless technology. J. Softw. Eng. Appl. 4, 95–105 (2011). CrossRefGoogle Scholar
  3. 3.
    Zyren, J.: Reliability of IEEE 802.11 WLANs in presence of Bluetooth radios. In: IEEE P802.11 Working Group Contribution, IEEE P802.15-99/073r0, Santa Rosa, California (1999)Google Scholar
  4. 4.
    Golmie, N., Chevrollier, N.: Techniques to improve Bluetooth performance in interference environment. In: Proceedings of MILCOM’01, McLean, Virginia (2001)Google Scholar
  5. 5.
    Kaur, R.: Applications transforming technology of future Bluetooth. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(2), 1042–1046 (2014)Google Scholar
  6. 6.
    Doomum, R.: Video transmission performance using Bluetooth technology. In: Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications, pp. 385–387. Springer (2014)Google Scholar
  7. 7.
    Haigh, P.A.: Exploiting equalization techniques for improving data rates in organic optoelectronic devices for visible light communications. IEEE J. Lightwave Technol. 30(19), 3081–3088 (2012)CrossRefGoogle Scholar
  8. 8.
    Gringeri, S., Basch, E.B., Xia, T.J.: Technical considerations for supporting data rates beyond 100Gb/s. IEEE Commun. Mag. 50(2), 521–530 (2012). CrossRefGoogle Scholar
  9. 9.
    Umunna, C., Rabi, F., Bah, A.: Application of TDMA technique to improve Data rate in Mobile ad hoc networks (MANET) (2008). 2005-2599-corr.pdf
  10. 10.
    Hindumathi, V., Ramalingareddy, K.: Enhancement of high data rates in wireless communication networks using MIMO-OFDM technology. Int. J. Eng. Res. Technol. 1(5) (2012).
  11. 11.
    Whelan, M.J., Janoyan, K.D.: Design of a robust, high-rate wireless sensor network for static and dynamic structural monitoring. J. Intell. Mater. Syst. Struct. 20(7), 849–864 (2009). CrossRefGoogle Scholar
  12. 12.
    Bae, K.J., Kwon, D.H., Kim, W.J., Suh, Y.J.: An efficient multicast routing protocol in multi-rate wireless Ad Hoc networks. In: Zhou, X., et al. (eds.) Emerging Directions in Embedded and Ubiquitous Computing EUC 2006. Lecture Notes in Computer Science, vol. 4097, pp. 93–102. Springer, Berlin, Heidelberg (2006).
  13. 13.
    Kim, D., Cagalaban, G., Kim, M.: Efficient data aggregation scheme for wireless multimedia sensor networks. J. Secur. Eng. 10(3), 345–354 (2013)Google Scholar
  14. 14.
    Liu, K., Ng, J.K., Lee, V.C., Son, S.H., Stojmenovic, I.: Cooperative data scheduling in hybrid vehicular Ad Hoc networks: VANET as a software defined network. IEEE Trans. Netw. 24(3), 1759–1773 (2016)CrossRefGoogle Scholar
  15. 15.
    Kang, W., Kapitanova, K., Son, S.H.: RDDS: a real-time data distribution service for cyber-physical systems. IEEE Trans. Ind. Inf. 8, 393–405 (2012)CrossRefGoogle Scholar
  16. 16.
    Liu, K., Lee, V.C.: RSU-based real-time data access in dynamic vehicular networks. In: Proceedings 13th IEEE Conference on Intelligent Transportation Systems, pp. 1051–1056 (2010).
  17. 17.
    Daraghmi, Y.-A., Yi, C.-W., Stojmenovic, I.: Forwarding methods in data dissemination and routing protocols for vehicular Ad hoc networks. IEEE Netw. 27(06), 74–79 (2013). CrossRefGoogle Scholar
  18. 18.
    Wu, D., Zhang, Y., Bao, L., Regan, A.C.: Location-based crowdsourcing for vehicular communication in hybrid networks. IEEE Trans. Intell. Transp. Syst. 14(02), 837–846 (2013). CrossRefGoogle Scholar
  19. 19.
    Biaz, S., Wu, S.: Rate adaptation algorithms for IEEE 802.11 networks: A survey and comparison. IEEE symposium on Computers and Communications, 2008. Marrakech, Morocco (2008).
  20. 20.
    Kim, D.Y., Ko, D.S., Kim, S.: Network access control for location- based mobile services in heterogeneous wireless networks. Mob. Inf. Syst. Article ID 6195024 (2017).

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringVeltech Rangarajan Dr.Sakunthala R&D Institute of Science and TechnologyChennaiIndia

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