Skip to main content

Advertisement

SpringerLink
Log in

Spatial Correlation Based Cross Layer Approach with Routing in Wireless Sensor Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Wireless Sensor Networks (WSNs) are more popular due to the use of low cost sensors with their interfaces. In designing of WSNs, energy conservation is a main issue. The nodes available in WSNs use battery as limited energy source. Various techniques have been proposed to improve the energy efficiency in WSNs. Energy efficient Medium Access Control (MAC) protocol is required for obtaining higher energy efficiency during difficult operating conditions, where node failure and link failures are common. Cross layer approach between data link and network layer is adapted in the proposed work. In the proposed work, the MAC protocols such as Correlation based Collaborative MAC (CC-MAC), CC-MAC combined with Hybrid MAC, Hybrid MAC, Hybrid MAC combined with sensor MAC have been considered for analysis. Two popular routing protocols such as Ad hoc On-demand Distance Vector, Ad hoc On-demand Multipath Distance Vector are also considered to identify the routing performance of the network. The Parameters such as end-to-end delay, packet drop, packet delivery ratio, throughput, energy efficiency are considered to measure the network performance. These parameters are acting as a primary and secondary attributes to design an efficient MAC protocols for WSNs.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24

Similar content being viewed by others

References

  1. Althobaiti, A. S. & Abdullah, M. (2015). Medium access control protocols for wireless sensor networks classifications and cross-layering. In Proceedings of international conference on communication, management and information technology (ICCMIT), procedia computer science (Vol. 65, pp. 4–16).

  2. Vuran, M. C., Akan, O. B., & Akyildiz, I. F. (2004). Spatio-temporal correlation: Theory and applications for wireless sensor networks. Computer Networks Journal, 45(3), 245–261.

    Article  MATH  Google Scholar 

  3. Vuran, M. C., & Akyildiz, I. F. (2006). Spatial correlation—Based collaborative medium access control in wireless sensor networks. IEEE/ACM Transaction on Networking, 14(2), 316–329.

    Article  Google Scholar 

  4. Shah, G. A. & Bozyigit, M. (2007). Exploiting energy-aware spatial correlation in wireless sensor networks. In Proceedings of IEEE SensorWare’07.

  5. Zheng, G., & Tang, S. (2011). Spatial correlation based MAC protocol for event—Driven wireless sensor networks. Journal of Networks, 6(1), 121–128.

    Article  Google Scholar 

  6. Shakya, R. K., Singh, Y. N. & Verma, N. K. (2012). A correlation model for MAC protocols in event-driven wireless sensor networks. In Proceedings of IEEE region 10 conference on ENCON (pp. 1–6).

  7. Zhang, D., & Zhao, C.-P. (2012). A new medium access control protocol based on perceived data reliability and spatial correlation in wireless sensor network. Computers & Electrical Engineering, 38(3), 694–702.

    Article  MathSciNet  Google Scholar 

  8. Adhikari, R. (2014). A meticulous study of various medium access control protocols for wireless sensor networks. Journal of Network and Computer Applications, 48, 488–504.

    Article  Google Scholar 

  9. Villas, L. A., Boukerche, A., de Oliveira, H. A. B. F., de Araujo, R. B., & Loureiro, A. A. F. (2014). A spatial correlation aware algorithm to perform efficient data collection in wireless sensor networks. 12(1):10–30.

  10. Zheng, T., & Ki-Il, K. (2010). A survey on real-time MAC protocols in wireless sensor networks. Communications and Network, 2, 104–112.

    Article  Google Scholar 

  11. Rezaei, Z. & Mobininejad, S. (2012). Energy saving in wireless sensor networks. International Journal of Computer Science and Engineering Survey, 3(1).

  12. Raisinghani, V. T., & Iyer, S. (2003). Cross layer design optimizations in wireless protocol stacks. Computer Communications, 27, 720–724.

    Article  Google Scholar 

  13. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52, 2292–2330.

    Article  Google Scholar 

  14. Rajendran, V., Obraczka, K., & Garcia-Luna-Aceves, J. J. (2006). Energy-efficient, collision-free medium access control for wireless sensor networks. Wireless Networks, 12(1), 63–78.

    Article  Google Scholar 

  15. Kabara, J., & Calle, M. (2012). MAC protocols used by wireless sensor networks and a general method of performance evaluation. International Journal of Distributed Sensor Networks. doi:10.1155/2012/834784.

    Google Scholar 

  16. Chaari, L., & Kamoun, L. (2010). Wireless sensors networks MAC protocols analysis. Journal of Telecommunications, 2(1), 42–48.

    Google Scholar 

  17. Kim, H.-Y., & Kim, J. (2015). An energy efficient balancing scheme in wireless sensor networks. Wireless Personal Communication,. doi:10.1007/s11277-015-3154-z.

    Google Scholar 

  18. Boubiche, D. E., et al. (2015). A cross-layer communication protocol with transmission power adjustment for energy saving in multi-hop MhWSNs. Wireless Personal Communications, 85(1), 151–177.

    Article  Google Scholar 

  19. Zhang, Y., & Cheng, L. (2003). Cross-layer optimization for sensor networks. New York: New York Metro Area Networking Workshop.

    Google Scholar 

  20. Ye, W., Heidemann, J., & Estrin, D. (2004). Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking, 12(3), 493–506.

    Article  Google Scholar 

  21. Rajan, R., & Varma, S. (2016). Challenges and implementation on cross layer design for wireless sensor networks. Wireless Personal Communications, 86(2), 1037–1060.

    Article  Google Scholar 

  22. Padilla, P., et al. (2015). Performance analysis of different link layer protocols in wireless sensor networks. Wireless Personal Communications, 84(4), 3075–3089.

    Article  Google Scholar 

  23. Bandyopadhyay, S. & Coyle, E. J. (2004). Spatio-temporal sampling rates and energy efficiency in wireless sensor networks. In Proceedings of IEEE INFOCOM 2004 (Vol. 3, pp. 1728–1739).

  24. Melodia, T., Vuran, M. C., & Pompili, D. (2005). The state of the art in cross-layer design for wireless sensor networks. In Wireless systems and network architectures in next generation internet, LNCS (Vol. 3883, pp. 78–92). Springer.

  25. Lee, L. T. (2006). Cross-layer design and optimization for wireless sensor networks. Thesis, Naval Postgraduate School, California.

  26. Shakkottai, S., Karlsson, P. C., & Rappaport, T. S. (2003). Cross-layer design for wireless networks. IEEE, 41(10), 74–80.

    Google Scholar 

  27. Sun, W., & Wang, J. (2014). Cross-layer QoS optimization of wireless sensor network for smart grid. International Journal of Distributed Sensor Networks, 2014, 1–18.

    Google Scholar 

  28. Sitanayah, L., Sreenan, C. J., & Brown, K. N. (2010). A hybrid MAC protocol for emergency response wireless sensor networks. In Sensor technologies and applications SENSORCOMM 2010 (pp. 244–249).

  29. Sun, Y., Gurewitz, O., & Johnson, D. B. (2008). RI-MAC: A receiver initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. In Proceedings of the international conference on embedded networked sensor system (SenSys ‘08).

  30. Gao, Z., Cheng, W., Qiu, X., & Meng, L. (2015). A missing sensor data estimation algorithm based on temporal and spatial correlation. International Journal of Distributed Sensor Networks, 1–10.

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, MNM Jain Engineering College, Chennai, India

    P. T. Kalaivaani

  2. Department of Electronics and Communication Engineering, Coimbatore Institute of Technology, Coimbatore, India

    A. Rajeswari

Authors
  1. P. T. Kalaivaani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Rajeswari
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. T. Kalaivaani.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kalaivaani, P.T., Rajeswari, A. Spatial Correlation Based Cross Layer Approach with Routing in Wireless Sensor Networks. Wireless Pers Commun 94, 2125–2148 (2017). https://doi.org/10.1007/s11277-016-3365-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3365-y

Keywords

Search

Navigation