Skip to main content
Log in

Cross Layer QoS Guaranteed Fault Tolerance for Data Transmission in Mobile Wireless Sensor Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Wireless sensor network comprises several small nodes distributed randomly in an area under observation. These nodes sense the assigned physical phenomenon occurring around it and reports back to the base station. WSN is increasingly applied in defense, industrial, health care applications etc. Some applications envisage movement of the nodes. This results in frequent alteration of network topology leading to dynamic network partitioning. Hence, the routing of data from source to sink faces more routing disruptions. Maintaining application specific quality of service (QoS) in terms of Packet delivery ratio in such Mobile wireless sensor network (MWSN) environment is a daunting task. This cannot be achieved by focusing on a solution in only a single layer of sensor network protocol stack. Instead, by incorporating different techniques in each layered OSI protocol stack, a single coherent framework is proposed in this paper. This paper proposes prediction based coding in application layer, opportunistic routing in network layer, Laplacian scaling based on round trip time measurement in session layer. The proposed cross layer solution ensures application specific QoS guaranteed fault tolerance in MWSN.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Misra, S., Krishna, P. V., Bhiwal, A., et al. (2012). A learning automata-based fault-tolerant routing algorithm for mobile ad hoc networks. The Journal of Supercomputing, 62, 4–23.

    Article  Google Scholar 

  2. Manohari, D., & Mala, G. (2013). Swarm based topology control for fault tolerance in MANET. International Review on Computers and Software (IRECOS), 8(4), 1037–1044.

    Google Scholar 

  3. Anuradha, M., & Anandha Mala, G. S. (2014). Multi-objective cross-layer based multipath routing protocol in MANET. Journal of Theoretical and Applied Information Technology, 68, 531–540.

    Google Scholar 

  4. Jaggi, P., & Singh, A. (2015). Rollback recovery with low overhead for fault tolerance in mobile ad hoc networks. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2014.03.022.

    Article  Google Scholar 

  5. Biswas, S., & Neogy, S. (2012). Checkpointing and recovery using node mobility among clusters in mobile ad hoc network. In N. Meghanathan, D. Nagamalai, & N. Chaki (Eds.), Advances in computing and information technology. Advances in intelligent systems and computing (Vol. 176, pp. 447–456). Berlin, Heidelberg: Springer.

    Chapter  Google Scholar 

  6. Kasamatsu, D., Kawamura, Y., Oki, M., & Shinomiya, N. (2011). Broadcasting method based on topology control for fault-tolerant MANET (pp. 105–110). https://doi.org/10.1109/icdcsw.2011.40.

  7. Bao, X., & Deng, C. (2016). FICTC: Fault-tolerance-and-interference-aware topology control for wireless multi-hop networks. EURASIP Journal on Wireless Communications and Networking, 2016, 190. https://doi.org/10.1186/s13638-016-0690-5.

    Article  Google Scholar 

  8. Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754.

    Article  Google Scholar 

  9. Guo, J., Liu, X., Jiang, C., Cao, J., & Ren, Y. (2015). Distributed fault-tolerant topology control in cooperative wireless ad hoc networks. IEEE Transactions on Parallel and Distributed Systems, 26(10), 2699–2710.

    Article  Google Scholar 

  10. Oommen, B., & Misra, S. (2010). Fault-tolerant routing in adversarial mobile ad hoc networks: An efficient route estimation scheme for non-stationary environments. Telecommunication Systems, 44, 159–169. https://doi.org/10.1007/s11235-009-9215-4.

    Article  Google Scholar 

  11. Mansouri, H., Badache, N., Aliouat, M., & Pathan, A.-S. (2015). Adaptive fault tolerant checkpointing algorithm for cluster based mobile ad hoc networks. Procedia Computer Science, 73, 40–47. https://doi.org/10.1016/j.procs.2015.12.047.

    Article  Google Scholar 

  12. Alghamdi, S. A. (2015). Load balancing ad hoc on-demand multipath distance vector (LBAOMDV) routing protocol. Journal on Wireless Communications Network, 2015, 242.

    Article  Google Scholar 

  13. Mechtri, L., Tolba, D. F., Ghanemi, S., & Magoni, D. (2017). A twofold self-healing approach for MANET survivability reinforcement. International Journal of Intelligent Engineering Informatics, 5, 309. https://doi.org/10.1504/IJIEI.2017.087931.

    Article  Google Scholar 

  14. Ye, Z., Wen, T., Liu, Z., et al. (2016). A security fault-tolerant routing for multi-layer non-uniform clustered WSNs. Journal on Wireless Communications Network, 2016, 192. https://doi.org/10.1186/s13638-016-0692-3.

    Article  Google Scholar 

  15. Kheirandishfard, M., Karamizadeh, S., & Aflaki, M. (2011). Enhancing congestion control to address link failure loss over mobile ad-hoc network. International journal of Computer Networks and Communications. https://doi.org/10.5121/ijcnc.2011.3513.

    Article  Google Scholar 

  16. Gawas, M. A., et al. (2019). Congestion-adaptive and delay-sensitive multirate routing protocol in MANETs: A cross-layer approach. Journal of Computer Networks and Communications. https://doi.org/10.1155/2019/6826984.

    Article  Google Scholar 

  17. Gawas, M. A., & Gawas, M. M. (2018). Efficient multi objective cross layer approach for 802.11e over MANETs. In 2018 14th international wireless communications and mobile computing conference (IWCMC), Limassol (pp. 582–587).

  18. Chen, J., Li, Z., Liu, J. W., & Kuo, Y. H. (2011). QoS multipath routing protocol based on cross layer design for ad hoc networks. In Proceedings of the 2011 international conference on internet computing & information services (ICICIS), Hong Kong, 17–18 September 2011 (pp. 261–264). https://doi.org/10.1109/ICICIS.2011.168.

  19. Asha, & Mahadevan, G. (2017). A combined scheme of video packet transmission to improve cross layer to support QoS for MANET. Alexandria Engineering Journal, 57, 1501–1508. https://doi.org/10.1016/j.aej.2017.03.033.

    Article  Google Scholar 

  20. Wang, H., Wang, S., Bu, R., & Zhang, E. (2017). A novel cross-layer routing protocol based on network coding for underwater sensor networks. Sensors (Basel, Switzerland), 17, 795–833.

    Article  Google Scholar 

  21. Petroccia, R., Pelekanakis, K., Alves, J., Fioravanti, S., & Blouin, S. (2018). An adaptive cross-layer routing protocol for underwater acoustic networks. https://doi.org/10.1109/ucomms.2018.8493225.

  22. Djebaili, Y., & Bilami, A. (2020). A cross-layer fault tolerant protocol with recovery mechanism for clustered sensor networks (pp. 55–76). https://doi.org/10.4018/978-1-7998-2454-1.ch010.

  23. Wang, Y., Wu, H., Lin, F., & Tzeng, N. (2008). Cross-layer protocol design and optimization for delay/fault-tolerant mobile sensor networks (DFT-MSN’s). IEEE Journal on Selected Areas in Communications, 26(5), 809–819.

    Article  Google Scholar 

  24. Yang, X., Wang, L., & Xie, J. (2017). Energy efficient cross-layer transmission model for mobile wireless sensor networks. Mobile Information Systems, 2017, 1–8. https://doi.org/10.1155/2017/1346416.

    Article  Google Scholar 

  25. Kim, S. (2015). Cooperative communication protocol based on relay node grouping in wireless networks. International Journal of Engineering and Technology, 7, 1933–1942.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Shyamala.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shyamala, C., Priya, M.G. & Devi, K.A.S. Cross Layer QoS Guaranteed Fault Tolerance for Data Transmission in Mobile Wireless Sensor Networks. Wireless Pers Commun 114, 2199–2214 (2020). https://doi.org/10.1007/s11277-020-07472-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07472-2

Keywords

Navigation