Advertisement

Cluster Computing

, Volume 22, Supplement 4, pp 9687–9696 | Cite as

H2B2H protocol for addressing link failure in WSN

  • Rajkumar KrishnanEmail author
  • Ganeshkumar Perumal
Article
  • 137 Downloads

Abstract

Wireless sensor networks are constructed using more number of sensor nodes. The distributed nature of this network has several QoS issues and these are addressed by the clustered QoS routing protocol. Due to the dynamic nature of the wireless sensor network the nodes may move from one position to another position. If the moved node is a header node and it is not in the communication range of its neighbor header, then there will be link breakage between two header nodes. Once such link failure occurs, then single network will be partitioned into two different networks. They cannot communicate each other and it leads to packet dropping. Existing methods addresses link failure by rerouting protocols. But it will take time to construct rerouting. To address this issue, a Header to base station and base station to header (H2B2H) protocol is proposed. When there is a link failure between two header nodes, that is, between predecessor CH and successor CH, the proposed protocol will be automatically invoked. According to the proposed H2B2H protocol, the predecessor will send the data to the base station. The base station has information about all the nodes. So the base station will take the responsibility to forward the data to the destination group cluster head. The simulation results show that the performance of the proposed algorithm increases throughput, packet delivery rate, network life time and decreases the packet dropping rate, end to end delay, energy consumption of header nodes and routing overheads.

Keywords

QoS Link breakage Network partition Packet dropping H2B2H protocol Predecessor CH Successor CH 

References

  1. 1.
    Thakar, H., Vhatkar, S., Atique, M.: Comparative study of speed protocols in wireless sensor network. In: Proceedings of the International Journal of Computer Applications, vol. 120. (2015)Google Scholar
  2. 2.
    Mamoon, A., Mansoor, N., Baharun, S., Katayama, Y., Komaki, S.: Review article clustering analysis in wireless sensor networks: the ambit of performance metrics and schemes taxonomy. Int. J. Distrib. Sens. Netw. 12(7), 4979142 (2016)CrossRefGoogle Scholar
  3. 3.
    Singh, S.P., Sharma, S.C.: A survey on cluster based routing protocols in wireless sensor networks. Int. Conf. Adv. Comput. Technol. Appl. 45, 687–695 (2015)Google Scholar
  4. 4.
    Aslam, M., Ehsan Ullah Munir, M., Rafiquec, M., Hu, X.: Adaptive energy-efficient clustering path planning routing protocols for heterogeneous wireless sensor networks. Sustaina. Comput. 12, 57–71 (2016)Google Scholar
  5. 5.
    Arjunan, S., Pothula, S.: A survey on unequal clustering protocols in Wireless Sensor Networks. J. King Saud Univ. (2017),  https://doi.org/10.1016/j.jksuci.2017.03.006
  6. 6.
    Sharma, S., Jena, S.K.: Cluster based multipath routing protocol for wireless sensor networks. ACM SIGCOMM Comput. Commun. Rev. 45(2), 14–20 (2015)CrossRefGoogle Scholar
  7. 7.
    Lakshmi N.V.S.S.R. et al.: Analysis of clustered QoS routing protocol for distributed wireless sensor network. Comput. Elect. Eng. (2016),  https://doi.org/10.1016/j.compeleceng.2016.11.019
  8. 8.
    Ingle, A.S., Nimbhorkar, S.U.: A review on secure communication protocol for wireless ad hoc network. In: Proceedings of 2015 International Conference on Pervasive Computing IEEE, pp.1–4 (2015)Google Scholar
  9. 9.
    Qayyum M., Khan K.U.R., Nazeer M.: Cluster based data replication technique based on mobility prediction in mobile Ad Hoc networks, In: Satapathy S., Govardhan A., Raju K., Mandal J. (eds) Emerging ICT for Bridging the Future—Proceedings of the 49th Annual Convention of the Computer Society of India CSI. vol. 2. Advances in Intelligent Systems and Computing, vol 338. Springer, Cham (2015)Google Scholar
  10. 10.
    Sumathy, S., Saravanan, R.A.: A swarm intelligence based approach for addressing network partitioning constraints in mobile ad hoc networks. Int. J. Commun. Netw. Distrib. Syst. 14(2), 164–184 (2015)CrossRefGoogle Scholar
  11. 11.
    Atani, R.E., Pourkhalili, A., Kamali, S.: A stable clustering scheme based on adaptive multiple metric in vehicular Ad-Hoc networks. J. Inf. Sci. Eng. 31, 361–386 (2015)Google Scholar
  12. 12.
    Tseng, C.C., Ting, K.C., Wang, H.C., Kuo, F.C., Chang, L.H.: Construction and analysis of a green clustered architecture for RNG-based wireless ad hoc networks. Int. J. Ad Hoc Ubiquitous Comput. 19, 62–74 (2015)CrossRefGoogle Scholar
  13. 13.
    Song, M., He, B.: Capacity analysis for flat and clustered wireless sensor networks. Int. Conf. Wirel. Algorith. Syst. Appl. 30, 249–253 (2007)CrossRefGoogle Scholar
  14. 14.
    Mamun, Q.: A qualitative comparison of different logical topologies for wireless sensor networks. Sensors 12, 14887–14913 (2012).  https://doi.org/10.3390/s121114887 CrossRefGoogle Scholar
  15. 15.
    Jamatia, A., Chakma, K., Kar, N., Rudrapal, D., Debbarmai, S.: Performance analysis of hierarchical and flat network routing protocols in wireless sensor network using Ns-2. Int.l J. Model. Opt. 5, 40 (2015)Google Scholar
  16. 16.
    Li, C., Ye, M., Chen, G.: An energy-efficient unequal clustering mechanism for wireless sensor networks. In: Proceedings of the IEEE International Conference on Mobile Adhoc and Sensor Systems Conference (2005).  https://doi.org/10.1109/MAHSS.2005.1542849
  17. 17.
    Jiang, H., Peng, Q.W.: Nonuniform clustering routing protocol for tunnel wireless sensor network in underground mine. In: Proceedings of the International Conference on Wireless Communications & Signal Processing, WCSP (2009).  https://doi.org/10.1109/WCSP.2009.5371677
  18. 18.
    Din, S., Ahmad, A., Paul, A., Rathore, M.M., Jeon, G.: A cluster-based data fusion technique to analyze big data in wireless multi-sensor system. special section on future networks: architectures, protocols, and applications. IEEE Access 5, 5069–5083 (2007)CrossRefGoogle Scholar
  19. 19.
    Zhang, D., Liu, S., Zhang, T., Liang, Z.: Novel unequal clustering routing protocol considering energy balancing based on network partition & distance for mobile education. J. Netw. Comput. Appl. 88, 1–9 (2017)CrossRefGoogle Scholar
  20. 20.
    Rajan, C., Shanthi, N.: Genetic based optimization for multicast routing algorithm for Manet’ Sadhana—Academy Proceedings in Engineering. Science 40(7), 2341–2352 (2015)Google Scholar
  21. 21.
    Penella, M.T, Albesa, J., Gasulla, M.: Powering wireless sensor nodes: primary batteries versus energy harvesting. In: Proceedings of the I2MTC 2009–International Instrumentation and Measurement Technology Conference Singapore, 5–7 May (2009)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Deprtment of Infornation TechnologyPSNA College of Engineering&TechnologyDindigulIndia

Personalised recommendations