Skip to main content

Advertisement

Log in

An Analysis of Energy Efficiency Improvement Through Wireless Energy Transfer in Wireless Sensor Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In a wireless sensor network, wireless Energy transfer is a demanding technology for the energy difficulties in recent times. The foremost disadvantage of presentation is limited duration because WSN contains only restricted battery energy at a node. Therefore, we anticipated cluster-related wireless energy transfer in this document. The foremost intention of the method is to augment the duration of the sensor network through charging by the help of this wireless power transfer technology. So that, mobile charging vehicle (MCV) is established to move within the network and charge the sensor node battery wireless. The sensor nodes in the network are collected as a cluster for energy efficiency. Here, the cluster head is chosen for each one cluster in the network which is based on the rank metric value. Suppose, if one node in the network is reducing its energy, then the CH will send charge request and route ID to the MCV. Afterward, the MCV recognize the node by means of the exacting route and establish to charge the node. The reproduction consequences illustrate that the network lifetime of our anticipated method is enhanced than obtainable method.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Park, G., Rosing, T., Todd, M. D., Farrar, C. R., & Hodgkiss, W. (2008). Energy harvesting for structural health monitoring sensor networks. Journal of Infrastructure Systems, 14(1), 64–79.

    Article  Google Scholar 

  2. Chang, J., & Tassiulas, L. (2004). Maximum lifetime routing in wireless sensor networks. IEEE/ACM Transactions on Networking, 12(4), 609–619.

    Article  Google Scholar 

  3. Giridhar, A., & Kumar, P. R. (2005). Maximizing the functional lifetime of sensor networks. In Proceedings of ACM/IEEE international symposium on information processing in sensor networks (pp. 5–12). Los Angeles, CA.

  4. Shi, Y., & Hou, Y. T. (2008). Theoretical results on base station movement problem for a sensor network. In Proceedings of IEEE INFOCOM (pp. 376–384). Phoenix, AZ.

  5. Bulusu, N., & Jha, S. (Eds.). (2005). Wireless sensor networks: A systems perspective, Chapter 9. Norwood, MA: Artech House.

    MATH  Google Scholar 

  6. Jiang, X., Polastre, J., & Culler, D. (2005) Perpetual environmentally powered sensor networks. In Proceedings of ACM/IEEE international symposium on sensor networks (pp. 463–468). Los Angeles, CA.

  7. Kansal, A., Hsu, J., Zahedi, S., & Srivastava, M. B. (2007). Power management in energy harvesting sensor networks. ACM Transactions on Embedded Computing Systems, 6(4), 32.

    Article  Google Scholar 

  8. Liang, W., Ren, X., Jia, X., & Xu, X. (2013). Monitoring quality maximization through fair rate allocation in harvesting sensor networks. IEEE Transactions on Parallel and Distributed Systems, 24(09), 1827–1840.

    Article  Google Scholar 

  9. Xie, L., Shi, Y., Hou, Y. T., Lou, W., & Sherali, H. D. (2013) On travelling path and related problems for a mobile station in a rechargeable sensor network. ACM Transactions MobiHoc’13, July 29–August 1, 2013.

  10. Wang, C., Li, J., Ye, F., & Yang, Y. (2013). Multi-vehicle coordination for wireless energy replenishment in sensor networks. In IEEE Proc.

  11. Peng, Y., Li, Z., Zhang, W., & Qiao, D. (2011). Prolonging sensor network lifetime through wireless charging. In Proceedings of IEEE RTSS, 2010.

  12. Madhja, A., Nikoletseas, S., & Raptis, T. P. (2016). Hierarchical, collaborative wireless energy transfer in sensor networks with multiple mobile chargers. Computer Networks, 97, 98–112.

    Article  Google Scholar 

  13. Xu, W., et al. (2016). Efficient scheduling of multiple mobile chargers for wireless sensor networks. IEEE Transactions on Vehicular Technology, 659, 7670–7683.

    Article  Google Scholar 

  14. Xie, L., & Shi, Y. (2012). Multi-node wireless energy charging in sensor networks. IEEE Transactions, 23(2), 437–450.

    Google Scholar 

  15. Shi, L., et al. (2014). The dynamic routing algorithm for renewable wireless sensor networks with wireless power transfer. Computer Networks, 74, 34–52.

    Article  Google Scholar 

  16. Lin, C., et al. (2016). Gtcharge: A game theoretical collaborative charging scheme for wireless rechargeable sensor networks. Journal of Systems and Software, 121, 88–104.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Dhurgadevi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dhurgadevi, M., Meenakshi Devi, P. An Analysis of Energy Efficiency Improvement Through Wireless Energy Transfer in Wireless Sensor Network. Wireless Pers Commun 98, 3377–3391 (2018). https://doi.org/10.1007/s11277-017-5019-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-5019-0

Keywords

Navigation