Skip to main content
Log in

A Rendezvous Mechanism for Energy Balance and Link Quality in WSNs

  • Computer Science
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

Quorum System is a good method to assist the design of sensors of the wake-up scheduling mechanism. However, there are some problems about idle rendezvous and poor link quality when the sensor performs a sensing task according to the Quorum System. In order to improve the efficiency of the sensors and reduce energy consumption, a new rendezvous mechanism is proposed. The use of energy and the link quality between sensors are considered from a global perspective. It can not only ensure the rendezvous opportunity among sensors, but also balance the residual energy of the sensors, so it can improve the energy-saving efficiency of traditional Quorum System. According to the simulation, compared with the traditional Quorum System scheduling mechanism, the rendezvous mechanism proposed in this paper can effectively reduce the number of time-slots when the sensor is idle. Moreover, it also realizes the balance of the residual energy of the sensor and the link quality, which prolongs the life cycle of the wireless sensor network and improves the communication quality.

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.

Similar content being viewed by others

References

  1. Yang Q, He S, Li J, et al. Energy-Efficient probabilistic area coverage in wireless sensor networks[J]. IEEE Transactions on Vehicular Technology, 2015, 64(1): 367–377.

    Article  Google Scholar 

  2. Wu S, Niu J, Chou W, et al. Delay-Aware energy optimization for flooding in duty-cycled wireless sensor networks[J]. IEEE Transactions on Wireless Communications, 2016, 15(12): 8449–8462.

    Article  Google Scholar 

  3. Akhtar F, Rehmani M H. Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: A review[J]. Renewable & Sustainable Energy Reviews, 2015, 45: 769–784.

    Article  Google Scholar 

  4. Yao Y, Giannakis G B. Energy-Efficient scheduling for wireless sensor networks[J]. IEEE Transactions on Communications, 2015, 53(8): 1333–1342.

    Article  Google Scholar 

  5. Zen K, Javed M, Lenando H B, et al. Intelligent coordinator selection mechanism (ICSM) for IEEE802.15.4 Beacon-Enabled MAC protocol in mobile wireless sensor networks[J]. International Review on Computers and Software, 2015, 10(2): 164.

    Google Scholar 

  6. Lai S, Ravindran B, Cho H. Heterogenous quorum-based wake-up scheduling in wireless sensor networks[J]. IEEE Transactions on Computers, 2010, 59(11): 1562–1575.

    Article  Google Scholar 

  7. Chao C M, Lee Y W. A quorum-based energy-saving MAC protocol design for wireless sensor networks[J]. IEEE Transactions on Vehicular Technology, 2010, 59(2): 813–822.

    Article  Google Scholar 

  8. Own C M, Meng Z, Liu K. Handling neighbor discovery and rendezvous consistency with weighted quorum-based approach[J]. Sensors, 2015, 15(9): 22364–22377.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zhang D, He T, Ye F, et al. EQS: Neighbor discovery and rendezvous maintenance with extended quorum system for mobile sensing applications[C]//IEEE International Conference on Distributed Computing Systems. Washington D C: IEEE, 2012: 72–81.

    Google Scholar 

  10. Ekbatanifard G H, Monsefi R, Yaghmaee M H, et al. Queen-MAC: A quorum-based energy-efficient medium access control protocol for wireless sensor networks[J]. Computer Networks, 2012, 56(8): 2221–2236.

    Article  Google Scholar 

  11. Muruganathan S D, Ma D C F, Bhasin R I, et al. A centralized energy-efficient routing protocol for wireless sensor networks[J]. IEEE Communications Magazine, 2005, 43(3): S8–13.

    Article  Google Scholar 

  12. Hou Y T, Shi Y, Sherali H D, et al. On energy provisioning and relay node placement for wireless sensor networks[J]. IEEE Transactions on Wireless Communications, 2005, 4(5): 2579–2590.

    Article  Google Scholar 

  13. Sohn I, Lee J H, Sang H L. Low-Energy adaptive clustering hierarchy using affinity propagation for wireless sensor networks[J]. IEEE Communications Letters, 2016, 20(3): 558–561.

    Article  Google Scholar 

  14. Tsai C H, Hsu T W, Pan M S, et al. Cross-Layer, energy-efficient design for supporting continuous queries in wireless sensor networks: A quorum-based approach[J]. Wireless Personal Communications, 2009, 51(3): 411–426.

    Article  Google Scholar 

  15. Ahmed N, Kanhere S S, Jha S. On the importance of link characterization for aerial wireless sensor networks[J]. IEEE Communications Magazine, 2016, 54(5): 52–57.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yujun Zhu.

Additional information

Foundation item: Supported by the Natural Science Foundation of Department of Education of Anhui Province (KJ2017A325)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhu, Y., Mei, J., Zhao, D. et al. A Rendezvous Mechanism for Energy Balance and Link Quality in WSNs. Wuhan Univ. J. Nat. Sci. 23, 103–110 (2018). https://doi.org/10.1007/s11859-018-1300-7

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11859-018-1300-7

Key words

CLC number

Navigation