Skip to main content
Springer Nature Link
Log in

Improving Lifetime of Wireless Sensor Network Based on Sinks Mobility and Clustering Routing

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Previous studies on wireless sensor networks indicate one of the most important research topics is to consider both significance of the reduction in sensor nodes energy consumption and improving network lifetime. Regarding results of some researchers using sinks, mobility has a substantial impact on the performance of sensor networks concerning reducing total energy consumption, increasing the number of active nodes and solving the energy-hole problem. In this study, we consider hexagons beehives feature where sensor nodes are distributed across a hexagon randomly. This hexagonal is divided into equal clusters based on the radius of hexagonal. Also, the need for cluster heads to be close to their centre of clusters in the previous similar model is solved by adding mobility to the sinks, providing a pre-determined path for mobile sinks and covering each cluster by sinks from two different directions. Therefore, the proposed model simulation results show the increase in the average of residual energy between sensor nodes, reducing total energy consumption, increasing the number of active nodes and ultimately improving the lifetime of wireless sensor networks related to previous models.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  1. Zhao, M., Yang, Y., & Wang, C. (2015). Mobile data gathering with load balanced clustering and dual data uploading in wireless sensor networks. IEEE Transactions on Mobile Computing,14(4), 770–785.

    Article  Google Scholar 

  2. Guo, S., Wang, C., & Yang, Y. (2014). Joint mobile data gathering and energy provisioning in wireless rechargeable sensor networks. IEEE Transactions on Mobile Computing,13(12), 2836–2852.

    Article  Google Scholar 

  3. Alsalih, W., Hassanein, H., & Akl, S. (2010). Placement of multiple mobile data collectors in wireless sensor networks. Ad Hoc Networks,8(4), 378–390.

    Article  Google Scholar 

  4. Ma, M., Yang, Y., & Zhao, M. (2013). Tour planning for mobile data-gathering mechanisms in wireless sensor networks. IEEE Transactions on Vehicular Technology,62(4), 1472–1483.

    Article  Google Scholar 

  5. Wang, J., et al. (2013). Mobility based energy efficient and multi-sink algorithms for consumer home networks. IEEE Transactions on Consumer Electronics,59(1), 77–84.

    Article  Google Scholar 

  6. Sabor, N., et al. (2017). A comprehensive survey on hierarchical-based routing protocols for mobile wireless sensor networks: Review, taxonomy, and future directions. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2017/2818542.

    Article  Google Scholar 

  7. Kim, J.-W., et al. (2010). An intelligent agent-based routing structure for mobile sinks in WSNs. IEEE Transactions on Consumer Electronics,56(4), 2310–2316.

    Article  Google Scholar 

  8. Lee, E., et al. (2010). Data gathering mechanism with local sink in geographic routing for wireless sensor networks. IEEE Transactions on Consumer Electronics,56(3), 1433–1441.

    Article  Google Scholar 

  9. Güney, E., et al. (2010). Efficient integer programming formulations for optimum sink location and routing in heterogeneous wireless sensor networks. Computer Networks,54(11), 1805–1822.

    Article  Google Scholar 

  10. Tian, K., et al. (2010). Data gathering protocols for wireless sensor networks with mobile sinks. In Global Telecommunications Conference GLOBECOM 2010 (pp. 1–6). Miami, FL: IEEE.

  11. Wang, Z. M., et al. (2005). Exploiting sink mobility for maximizing sensor networks lifetime. In Proceedings of the 38th annual Hawaii international conference on system sciences (pp. 287a–287a). IEEE.

  12. Papadimitriou, I., & Georgiadis, L. (2005). Maximum lifetime routing to mobile sink in wireless sensor networks. In Proceedings of the 13th IEEE SoftCOM.

  13. Li, X., et al. (2012). Localized geographic routing to a mobile sink with guaranteed delivery in sensor networks. IEEE Journal on Selected Areas in Communications,30(9), 1719–1729.

    Article  Google Scholar 

  14. Luo, J., & Hubaux, J.-P. (2010). Joint sink mobility and routing to maximize the lifetime of wireless sensor networks: The case of constrained mobility. IEEE/ACM Transactions on Networking (TON),18(3), 871–884.

    Article  Google Scholar 

  15. Han, G., et al. (2016). A survey on mobile anchor node assisted localization in wireless sensor networks. IEEE Communications Surveys and Tutorials,18(3), 2220–2243.

    Article  Google Scholar 

  16. Tashtarian, F., et al. (2015). On maximizing the lifetime of wireless sensor networks in event-driven applications with mobile sinks. IEEE Transactions on Vehicular Technology,64(7), 3177–3189.

    Google Scholar 

  17. Yue, Y., et al. (2016). Optimization-based artificial bee colony algorithm for data collection in large-scale mobile wireless sensor networks. Journal of Sensors, 7057490

Download references

Author information

Authors and Affiliations

  1. Faculty of Technical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    S. M. Amini

  2. Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

    A. Karimi

  3. Faculty of Computer Engineering, Sharif University of Technology, Tehran, Iran

    S. R. Shehnepoor

Authors
  1. S. M. Amini
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. A. Karimi
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. S. R. Shehnepoor
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to S. M. Amini.

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

Amini, S.M., Karimi, A. & Shehnepoor, S.R. Improving Lifetime of Wireless Sensor Network Based on Sinks Mobility and Clustering Routing. Wireless Pers Commun 109, 2011–2024 (2019). https://doi.org/10.1007/s11277-019-06665-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06665-8

Keywords