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A Survey on Quality of Service Metrics Using Cross Layer Optimization Technique

  • Amutha REmail author
  • Sivasankari H
  • Venugopal K R
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 98)

Abstract

Wireless Sensor Network (WSN) is group of sensor nodes connected in a network to monitor the physical situations and collect the information to communicate to sink node. The low-cost feature of WSN is a significant advantage over the conventional networks. The successful implementation of WSN requires to adapt a strict QoS metrics. Each application demands a specific QoS such as throughput, latency, reliability bandwidth etc. The cross-layer algorithm optimizes the overall performance. The efficient design of routing algorithm and cross layer optimization technique improves the performance of WSNs. This paper depicts the comparison of various optimization techniques on WSNs with their strengths and limitations. The cross-layer optimization techniques of previously proposed methods highlighting its merits and demerits to develop optimized cross layer technique.

Keywords

Cross layer Energy consumption Latency QoS Reliability Scalability Throughput WSN 

Notes

Acknowledgement

This research was partially supported by AMC Engineering College, Bangalore. I thank my guide and colleagues from AMC Engineering College who provided insight and expertise that greatly assisted the research, although they may not agree with all the interpretations of this paper.

References

  1. 1.
    Lahane, S.R., Jariwala, K.N.: Cross layer design approach for routing optimization in wireless sensor network. Int. J. Adv. Comput. Eng. Netw. 6(3), 41–48 (2018)Google Scholar
  2. 2.
    Zhang, Y., Gao, H., Cheng, S., Li, J.: An efficient EH-WSN energy management mechanism. TUP J. Mag. 23(4), 406–418 (2018)Google Scholar
  3. 3.
    Yang, X., Wang, L., Xie, J.: Energy efficient cross-layer transmission model for mobile wireless sensor networks. Hindawi Mob. Inf. Syst. 1346416 (2017)Google Scholar
  4. 4.
    Ezdiani, S., Acharyya, I.S., Sivakumar, S., Al-Anbuky, A.: Wireless sensor network softwarization: towards WSN adaptive QoS. IEEE Internet Things J. 4(5), 1517–1527 (2017)CrossRefGoogle Scholar
  5. 5.
    Singh, R., Rai, B.K., Bose, S.K.: A low delay cross-layer MAC protocol for k-covered event driven wireless sensor networks. IEEE Sens. Lett. 1(6), 1–4 (2017)CrossRefGoogle Scholar
  6. 6.
    Sun, Y., Dong, W., Chen, Y.: An improved routing algorithm based on ant colony optimization in wireless sensor networks. IEEE Commun. Lett. 21(6), 1317–1320 (2017)CrossRefGoogle Scholar
  7. 7.
    Han, G., Jiang, J., Guizani, M., Rodrigues, J.J.C.: Green routing protocols for wireless multimedia sensor networks. IEEE Wirel. Commun. 23(6), 140–146 (2016)CrossRefGoogle Scholar
  8. 8.
    Shahzad, F., Sheltami, T.R., Shakshuki, E.M.: Multi-objective optimization for a reliable localization scheme in wireless sensor networks. J. Commun. Netw. 18(5), 796–805 (2016)CrossRefGoogle Scholar
  9. 9.
    Dobslaw, F., Zhang, T., Gidlund, M.: QoS-aware cross-layer configuration for industrial wireless sensor networks. IEEE Trans. Ind. Inf. 12(5), 1679–1691 (2016)CrossRefGoogle Scholar
  10. 10.
    Boubiche, D.E., Boubiche, S., Bilami, A.: A cross-layer watermarking-based mechanism for data aggregation integrity in heterogeneous WSNs. IEEE Commun. Lett. 19(5), 823–826 (2015)CrossRefGoogle Scholar
  11. 11.
    Xu, W., Zhang, Y., Shi, Q., Wang, X.: Energy management and cross layer optimization for wireless sensor network powered by heterogeneous energy sources. IEEE Trans. Wirel. Commun. 14(5), 2814–2826 (2015)CrossRefGoogle Scholar
  12. 12.
    Lin, K.Y., Wang, P.C., Hong, T.P.: A greedy algorithm in wsns for maximum network lifetime and communication reliability. In: 2015 IEEE 12th International Conference on Networking, Sensing and Control, pp. 87–92. IEEE (2015)Google Scholar
  13. 13.
    Demigha, O., Hidouci, W.-K., Ahmed, T.: A novel BILP model for energy optimization under data precision constraints in wireless sensor networks. IEEE Commun. Lett. 18(12), 2185–2188 (2014)CrossRefGoogle Scholar
  14. 14.
    Yetgin, H., Cheung, K.T.K., El-Hajjar, M., Hanzo, L.: Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks. IET Wirel. Sens. Syst. 4(4), 176–182 (2014)CrossRefGoogle Scholar
  15. 15.
    Fu, B., Xiao, Y., Deng, H.J., Zeng, H.: A survey of cross-layer designs in wireless networks. IEEE Commun. Surv. Tutorials 16(1), 110–126 (2013)CrossRefGoogle Scholar
  16. 16.
    Cheng, M., Ye, Q., Cai, L.: Cross-layer schemes for reducing delay in multihop wireless networks. IEEE Trans. Wireless Commun. 12(2), 928–937 (2013)CrossRefGoogle Scholar
  17. 17.
    Wang, Y., Vuranand, M.C., Goddard, S.: Cross-layer analysis of the end-to-end delay distribution in wireless sensor networks. IEEE/ACM Trans. Networking 20(1), 305–318 (2012)CrossRefGoogle Scholar
  18. 18.
    Ehsan, S., Hamdaoui, B.: A survey on energy-efficient routing techniques with QoS assurances for wireless multimedia sensor networks. IEEE Commun. Surv. Tutorials 14(2), 265–278 (2011)CrossRefGoogle Scholar
  19. 19.
    Babulal, K.S., Tewari, R.R.: Cross layer design with link and reliability analysis for wireless sensor network. In: 2011 Nirma University International Conference on Engineering, pp. 1–5. IEEE (2011)Google Scholar
  20. 20.
    Liu, Y., Zhu, Y., Ni, L., Xue, G.: A reliability-oriented transmission service in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 22(12), 2100–2107 (2011)CrossRefGoogle Scholar
  21. 21.
    Di Francesco, M., Anastasi, G., Conti, M., Das, S.K., Neri, V.: Reliability and energy-efficiency in IEEE 802.15. 4/ZigBee sensor networks: an adaptive and cross-layer approach. IEEE J. Sel. Areas Commun. 29(8), 1508–1524 (2011)CrossRefGoogle Scholar
  22. 22.
    Jing, Z., Jian-Chao, Z.: A virtual centripetal force-based coverage enhancing algorithm for wireless multimedia sensor networks. IEEE Sens. J. 10(8), 1328–1334 (2010)CrossRefGoogle Scholar
  23. 23.
    Cho, J.J., Ding, Y., Chen, Y., Tang, J.: Robust calibration for localization in clustered wireless sensor networks. IEEE Trans. Autom. Sci. Eng. 7(1), 81–95 (2009)Google Scholar
  24. 24.
    Yi, C.-W.: A unified analytic framework based on minimum scan statistics for wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 20(9), 1233–1245 (2009)CrossRefGoogle Scholar
  25. 25.
    Wang, H., Yang, Y., Ma, M., He, J., Wang, X.: network lifetime maximization with cross-layer design in wireless sensor networks. IEEE Trans. Wirel. Commun. 7(10), 3759–3768 (2008)CrossRefGoogle Scholar
  26. 26.
    Liu, Q., Wang, X., Giannakis, G.B.: A cross-layer scheduling algorithm with QoS support in wireless networks. IEEE Trans. Veh. Technol. 55(3), 839–847 (2006)CrossRefGoogle Scholar
  27. 27.
    Kozat, U.C., Koutsopoulos, I., Tassiulas, L.: Cross-layer design for power efficiency and QoS provisioning in multi-hop wireless networks. IEEE Trans. Wirel. Commun. 5(11), 3306–3315 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.VTUAMC Engineering CollegeBangaloreIndia
  2. 2.Department of CSEAMC Engineering CollegeBangaloreIndia
  3. 3.Bangalore UniversityBangaloreIndia

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