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A prolonged network life time and reliable data transmission aware optimal sink relocation mechanism

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Abstract

Wireless sensor network is a group of organized sensor nodes that are limited to their resources such as limited bandwidth, energy etc. The data gathered from sensor nodes will be forwarded to the sink node to take proper actions. In order to avoid the failures, the sink nodes should be positioned in the better place for the resource optimization. In this regard, various researchers have concentrated on only energy efficiency and failed to focus on other performance parameters which would lead to network service performance degradation. This problem is resolved in the proposed research work by introducing the novel method namely life time and reliability concerned optimal sink relocation. Conserving the energy utilization of sensor nodes and improving the network lifetime with the concern to optimal clustering outcome is the major objective of this research work. In the proposed research work, Energy and Distance aware Clustering Technique is introduced to group the intermediate sensor/mobile nodes that are closer to both sink node and the sensor node which are ready to transfer the data. Here Weight K-means algorithm is adapted to cluster the nodes. To ensure the successful transmission of data without node failure, optimal cluster head selection is performed by using the cat swarm optimization algorithm with the objective of more remaining energy and available bandwidth. This helps to find the most suitable position for the sink node where it can be located in order to ensure better data transmission with resource optimization. This research work is implemented and evaluated in terms of varying performance measures. So, the presented research methods gives optimal outcome than the existing research method in regard to varying performance metrics called security level, energy utilization, false positive rate and delivery ratio.

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References

  1. Marta, M., Cardei, M.: Using sink mobility to increase wireless sensor networks life-time. In: 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks, pp. 1–10. IEEE (2008)

  2. Athanassoulis, M., Alagiannis, I., Hadjiefthymiades, S.: Energy efficiency in wireless sensor networks: a utility-based architecture. In Proceedings of 13th Conference on European Wireless, pp. 1–4 (2007)

  3. English, J., Wiacek, M., Younis, M.: Core coordinated relocation of sink nodes in wireless sensor networks. In: Proceedings of the 23rd Biennial Symposium on Communication, pp. 320–323 (2006)

  4. Wang, Q., Xu, K., Takahara, G., Hassanein, H.: On lifetimeoriented device provisioning in heterogeneous wireless sensor networks: approaches and challenges. IEEE Netw. 20(3), 26–33 (2006)

    Article  Google Scholar 

  5. Wu, X., Chen, G., Das, S.: On the energy hole problem of nonuniform node distribution in wireless Networks. In: International Conference on Mobile Adhoc and Sensor Systems (MASS), pp. 180–187 (2006)

  6. Vass, D., Vidacs, A.: Distributed data aggregation with geographical routing in wireless sensor networks. In: IEEE International Conference on Pervasive Services , pp. 68–71 (2007)

  7. Razafindralambo, T., Simplot-Ryl, D.: Mobile sensor deployment with connectivity guarantee (Doctoral dissertation, inria) (2009)

  8. Wu, F.J., Hsu, H.C., Tseng, Y.C., Huang, C.F.: Non-location-based mobile sensor relocation in a hybrid static-mobile wireless sensor network. In: Third International Conference on Sensor Technologies and Applications, pp. 643–649 (2009)

  9. Younis, M., Bangad, M., Akkaya, K.: Base-station repositioning for optimized performance of sensor networks. In: 58th Conference on Technology Vehicular, pp. 2956–2960 (2003)

  10. Vincze, Z., Vida, R., Vidacs, A.: Deploying multiple sinks in multi-hop wireless sensor networks. In: International Conference on Pervasive Services, pp. 55–63 (2007)

  11. Wu, X.B.: On the energy hole problem of non-uniform node distribution in wireless sensor networks. In: The IEEE International Conference on Mobile Adhoc and Sensor Systems, pp. 180–187 (2006)

  12. Kataria, S., Jain, A.: Bio inspired optimal relocation of mobile sink nodes in wireless sensor networks. In: 2013 International Conference on Emerging Trends in Communication Control, Signal Processing and Application, pp. 1–6. IEEE (2013)

  13. Leili, M., Khanli, M., Zeynali, M.: DBSR: dynamic base station Repositioning using Genetic algorithm in wireless sensor network. In IEEE Second International Conference on Computer Engineering and Applications, pp. 521–525 (2010)

  14. Chang-geng, T., Ke, X., Jian-xin, W., Song-qiao, C.: A sink moving scheme based on local residual energy of nodes in wireless sensor networks. J. Cent. South Univ. Technol. 16(2), 265–268 (2009)

    Article  Google Scholar 

  15. Saad, L.B., Tourancheau, B.: Towards an efficient positioning of mobile sinks in wireless sensor networks inside buildings. In: International Conference on New Technologies, Mobility and Security(NTMS), pp. 1–5 (2009)

  16. Sara, G.S., Sridharan, D.: Routing in mobile wireless sensor network: a survey. Telecommun. Syst. 57(1), 51–79 (2014)

    Article  Google Scholar 

  17. Karkvandi, H.R., Pecht, E., Yadid-Pecht, O.: Effective lifetime-aware routing in wireless sensor networks. IEEE Sens. J. 11(12), 3359–3367 (2011)

    Article  Google Scholar 

  18. AlShawi, I.S., Yan, L., Pan, W., Luo, B.: Lifetime enhancement in wireless sensor networks using fuzzy approach and A-star algorithm 12(10), 3010–3018 (2012)

  19. Yang, Y., Fonoage, M.I., Cardei, M.: Improving network lifetime with mobile wireless sensor networks. Comput. Commun. 33(4), 409–419 (2010)

    Article  Google Scholar 

  20. Li, X., Nayak, A., Stojmenovic, I.: Sink mobility in wireless sensor networks. In: Algorithms and Protocols for Scalable Coordination and Data Communication, Wireless Sensor and Actuator Networks, pp. 153–184 (2010)

  21. Paulus, R., Singh, G.: A multi objective sink repositioning algorithm based on particle swarm optimization in wireless sensor networks. Am. J. Sci. Res. 159–170 (2010)

  22. Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless micro sensor networks. IEEE Trans. Wirel. Commun. 1(4), 660–670 (2002)

    Article  Google Scholar 

  23. Latiff, N.M.A., Tseminidis, C.C., Sheriff, B.S.: Energy aware clustering for wireless sensor networks using particle swarm optimization. In: The 18th annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’07), pp. 1–5 (2007)

  24. Chu, S.C., Tsai, P.W., Pan, J.S.: Cat swarm optimization, LNAI 4099, vol. 3, pp. 854–858. Springer, Berlin (2006)

    Google Scholar 

  25. Santosa, B., Ningrum, M.: Cat swarm optimization for clustering. In: International Conference of Soft Computing and Pattern Recognition, pp. 54–59 (2009)

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India

    A. Pushpalatha

  2. Department of Computer Science and Engineering, Coimbatore Institute of Technology, Coimbatore, India

    G. Kousalya

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  1. A. Pushpalatha
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  2. G. Kousalya
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Correspondence to A. Pushpalatha.

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Pushpalatha, A., Kousalya, G. A prolonged network life time and reliable data transmission aware optimal sink relocation mechanism. Cluster Comput 22 (Suppl 5), 12049–12058 (2019). https://doi.org/10.1007/s10586-017-1551-7

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  • DOI: https://doi.org/10.1007/s10586-017-1551-7

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