Skip to main content

Cross-Layer Optimization on Charging Strategy for Wireless Sensor Networks Based on Successive Interference Cancellation

  • Conference paper
  • First Online:
Wireless Algorithms, Systems, and Applications (WASA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11604))

  • 2160 Accesses

Abstract

Communication interference and the energy limitation of nodes seriously hamper the fundamental performance of wireless sensor networks (WSN) such as throughput and network lifetime. In this paper, we focus on the Successive Interference Cancellation (SIC) aiming to realize multi-node concurrency communication and propose a heuristic power control algorithm. To prolong the network lifetime, we consider the scenario of mobile wireless charging equipment (WCE) periodically charging each node’s battery wirelessly. Time-slice scheduling scheme and energy consumption optimization protocol are adopted to design an efficient cross-layer charging strategy. Then we use a near-optimal method to transform the original problem into a linear problem which yields identical optimal value. Simulation results demonstrate that adopting SIC and WCE can greatly improve channel utilization ratio and increase network throughput by 200% to 500% while ensuring the network lifetime.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Potdar, V., Sharif, A., Chang, E.: Wireless sensor networks: a survey. In: Proceedings of International Conference on Advanced Information Networking and Applications (AINA 2009), Bradford, UK, pp. 636–641, May 2009

    Google Scholar 

  2. Kontik, M., Coleri Ergen, S.: Distributed medium access control protocol for successive interference cancellation-based wireless ad hoc networks. IEEE Commun. Lett. 21(2), 354–357 (2017)

    Google Scholar 

  3. Haqbeen, J.A., Ito, T., Arifuzzaman, M., et al.: Joint routing, MAC and physical layer protocol for wireless sensor networks. In: TENCON 2017–2017 IEEE Region 10 Conference, Malaysia, Penang, pp. 935–940 (2017)

    Google Scholar 

  4. Zhu, Y., Li, E., Chi, K.: Encoding scheme to reduce energy consumption of delivering data in radio frequency powered battery-free wireless sensor networks. IEEE Trans. Veh. Technol. 67(4), 3085–3097 (2018)

    Google Scholar 

  5. Cai, Z., Zheng, X.: A private and efficient mechanism for data uploading in smart cyber-physical systems. IEEE Trans. Netw. Sci. Eng. (2018, in press). https://doi.org/10.1109/TNSE.2018.2830307

  6. Kurs, A., Karalis, A., Moffatt, R., et al.: Wireless power transfer via strongly coupled magnetic resonances. Science 317(5834), 83–86 (2007)

    Google Scholar 

  7. Jiang, G., Lam, S., Sun, Y., et al.: Joint charging tour planning and depot positioning for wireless sensor networks using mobile chargers. IEEE/ACM Trans. Netw. 25(4), 2250–2266 (2017)

    Google Scholar 

  8. Ma, Z., Wu, J., Zhang, S., et al.: Prolonging WSN lifetime with an actual charging model. In: 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, pp. 1–6, April 2018

    Google Scholar 

  9. Wei, Z., Liu, F., Lyu, Z., Ding, X., Shi, L., Xia, C.: Reinforcement learning for a novel mobile charging strategy in wireless rechargeable sensor networks. In: Chellappan, S., Cheng, W., Li, W. (eds.) WASA 2018. LNCS, vol. 10874, pp. 485–496. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94268-1_40

    Google Scholar 

  10. Shi, Y., Xie, L., Hou, Y.T., et al.: On renewable sensor networks with wireless energy transfer. In: Proceedings of IEEE INFOCOM 2011, Shanghai, China, pp. 1350–1358 (2011)

    Google Scholar 

  11. Xie, L., Shi, Y., Hou, Y.T., et al.: Bundling mobile base station and wireless energy transfer: modeling and optimization. In: Proceedings of IEEE INFOCOM 2013, Turin, Italy, pp. 1636–1644 (2013)

    Google Scholar 

  12. Xu, W., Liang, W., Ren, X., et al.: On-demand energy replenishment for sensor networks via wireless energy transfer. In: 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), Washington, DC, USA, pp. 1269–1273 (2014)

    Google Scholar 

  13. Ding, X., Han, J., Shi, L.: The optimization based dynamic and cyclic working strategies for rechargeable wireless sensor networks with multiple base stations and wireless energy transfer devices. Sensors 15(3), 6270–6305 (2015)

    Google Scholar 

  14. Xu, J., Yuan, X., Wei, Z., et al.: A wireless sensor network recharging strategy by balancing lifespan of sensor nodes. In: 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, USA, pp. 1–6 (2017)

    Google Scholar 

  15. Guo, S., Wang, C., Yang, Y.: Joint mobile data gathering and energy provisioning in wireless rechargeable sensor networks. IEEE Trans. Mob. Comput. 13(12), 2836–2852 (2014)

    Google Scholar 

  16. Chang, H., Feng, J., Duan, C., et al.: Research of recharging scheduling scheme for wireless sensor networks based on cuckoo search. In: 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, pp. 1–7 (2018)

    Google Scholar 

  17. Wei, Z., Liu, F., Ding, X., et al.: K-CHRA: a clustering hierarchical routing algorithm for wireless rechargeable sensor networks. IEEE Access (2018, in press). https://doi.org/10.1109/ACCESS.2018.2885789

Download references

Acknowledgment

This research was funded by the National Key Research Development Program of China [No. 2016YFC0801800] and the Nation Nature Science Foundation of China [No. 61806067, No. 61701162].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xu Ding .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, J., Xu, X., Ding, X., Shi, L., Lu, Y. (2019). Cross-Layer Optimization on Charging Strategy for Wireless Sensor Networks Based on Successive Interference Cancellation. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA 2019. Lecture Notes in Computer Science(), vol 11604. Springer, Cham. https://doi.org/10.1007/978-3-030-23597-0_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-23597-0_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23596-3

  • Online ISBN: 978-3-030-23597-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics