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Link Quality Based Orthogonal Sniffing Movement Algorithm towards Mobile Sink

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 418))

Abstract

Wireless sensor networks (WSNs) have been widely used in many applications. However, in some particular situations such as battlefield communication and disaster monitoring, fixed sink nodes have shown their shortage on deployment, energy balance and connectivity. Also, most of the related works on mobile sink ignored packet loss and data collection coverage. In this paper, we propose a movement strategy for mobile sink based on the link quality: Orthogonal Sniffing Movement Algorithm (OSM). The movement strategy is carefully designed by analyzing the relationship between the route of sink node and link quality to achieve high data collection coverage. The movement of the mobile sink is determined dynamically by the evaluation results of link quality with sensor nodes. The simulation results reveal that OSM achieves high data collection coverage compared to other movement strategies.

This work is supported by The National Natural Science Foundation of China under grant NO.61262020 and Aeronautical Science Foundation of China under grant ON.2010ZC56008.

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References

  1. Cui, L., Ju, H., Miao, Y., et al.: Overview of Wireless Sensor Networks. Journal of Computer Research and Development 42(1), 163–174 (2005)

    Article  Google Scholar 

  2. Ren, X., Liang, W.: Delay-Tolerant Data Gathering in Energy Harvesting Sensor Networks With a Mobile Sink. In: Globecom 2012 - Ad Hoc and Sensor Networking Symposium (2012)

    Google Scholar 

  3. Kumar, V., Michael, N.: Opportunities and challenges with autonomous micro aerial vehicles. The International Journal of Robotics Research 31(11), 1279–1291 (2012)

    Article  Google Scholar 

  4. Achtelik, M., Zhang, T., Kuhnlenz, K., et al.: Visual tracking and control of a quadcopter using a stereo camera system and inertial sensors. In: International Conference on Mechatronics and Automation, ICMA 2009, pp. 2863–2869. IEEE (2009)

    Google Scholar 

  5. Gupta, M.R.K., Saxena, M.S., Singh, S., et al.: An Comparison and Evaluation for Data Gathering and Sharing with Inter Node Communication in Mobile-Sink. International Journal (2012)

    Google Scholar 

  6. Guo, J., Sun, L.-J., Xu, W.-J., et al.: Mobile sink-based data collection scheme for wireless sensor networks. Journal on Communications 9, 023 (2012)

    Google Scholar 

  7. Zhang, X.-W., Shen, L., Jiang, Y.-F.: Optimizing path selection of mobile Sink nodes in mobility-assistant WSN. Journal on Communications (2) (2013)

    Google Scholar 

  8. Guan, J., Sun, D., Wang, A., et al.: Energy Balanced Routing Algorithm Based on Mobile Sink for Wireless Sensor Networks. Journal of Computational Information Systems 8(2), 603–613 (2012)

    Google Scholar 

  9. Ahmadi, M., He, L., Pan, J., et al.: A Partition-based data collection scheme for wireless sensor networks with a mobile sink. In: 2012 IEEE International Conference on Communications (ICC), pp. 503–507. IEEE (2012)

    Google Scholar 

  10. Poe, W.Y., Beck, M., Schmitt, J.B.: Achieving high lifetime and low delay in very large sensors networks using mobile sinks. In: 2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 17–24. IEEE (2012)

    Google Scholar 

  11. Jafri, M.R., Javaid, N., Javaid, A., et al.: Maximizing the Lifetime of Multi-Chain PEGASIS Using Sink Mobility. World Applied Sciences Journal 21(9), 1283–1289 (2013)

    Google Scholar 

  12. Pazzi, R.W.N., Boukerche, A.: Mobile data collector strategy for delay-sensitive applications over wireless sensor networks. Computer Communications 31(5), 1028–1039 (2008)

    Article  Google Scholar 

  13. Bi, Y., Sun, L., Ma, J., et al.: HUMS: an autonomous moving strategy for mobile sinks in data-gathering sensor networks. EURASIP Journal on Wireless Communications and Networking (2007)

    Google Scholar 

  14. Xu, Z., Liang, W., Xu, Y.: Network Lifetime Maximization in Delay-Tolerant Sensor Networks with a Mobile Sink. In: 2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 9–16. IEEE (2012)

    Google Scholar 

  15. Behdani, B., Smith, J.C., Xia, Y.: The Lifetime Maximization Problem in Wireless Sensor Networks with a Mobile Sink: MIP Formulations and Algorithms. IIE Transactions (2013)

    Google Scholar 

  16. Javaid, N., Khan, A.A., Akbar, M., et al.: SRP-MS: A New Routing Protocol for Delay Tolerant Wireless Sensor Networks. arXiv preprint arXiv:1303.6518 (2013)

    Google Scholar 

  17. Wankhade, S.R., Chavhan, N.A.: A Review on Data Collection Method with Sink Node in Wireless Sensor Network. International Journal 4 (2013)

    Google Scholar 

  18. Waghole, D.S., Deshpande, V.S.: Reducing Delay Data Dissemination Using Mobile Sink in Wireless Sensor Networks. International Journal of Soft Computing and Engineering 3 (2013)

    Google Scholar 

  19. Zhang, X., Kang, G., Zhang, P., et al.: Game Theoretic Clustering Scheme for Mobile Sink WSN. Journal of Information & Computational Science 10(3), 869–881 (2013)

    Google Scholar 

  20. Zhang, L., Zhang, K., Song, J.: Mobile Sink-Based Data Gathering Algorithm in Wireless Sensor Networks. Chinese Journal of Sensors and Actuators 5, 024 (2012)

    Google Scholar 

  21. Shanmugam, D.B., Anitha, G., Kumar, K.V., et al.: A Design Approach for Data Collection in Wireless Sensor Networks with a Mobile Base Station. International Journal 2(12) (2012)

    Google Scholar 

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© 2014 Springer-Verlag Berlin Heidelberg

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Shu, J., Geng, X., Hu, G., Luo, D., Liu, L. (2014). Link Quality Based Orthogonal Sniffing Movement Algorithm towards Mobile Sink. In: Sun, L., Ma, H., Hong, F. (eds) Advances in Wireless Sensor Networks. CWSN 2013. Communications in Computer and Information Science, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54522-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-54522-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54521-4

  • Online ISBN: 978-3-642-54522-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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