A Short Review on Sleep Scheduling Mechanism in Wireless Sensor Networks

  • Zeyu Zhang
  • Lei Shu
  • Chunsheng Zhu
  • Mithun Mukherjee
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 234)

Abstract

As a common train of thought to save energy, sleep scheduling which turns sensor nodes on and off has become a significant method to prolong the lifetime of wireless sensor networks (WSNs). In recent years, many related sleep scheduling mechanisms with diverse emphases and application areas for WSNs have been proposed. This paper reviews those mechanisms and further classifies them in different taxonomies as well as provides an insight into them.

Keywords

Sleep scheduling Wireless Sensor Networks (WSNs) Insight 

Notes

Acknowledgments

This work is supported by China Maoming Engineering Research Center on Industrial Internet of Things (No. 517018) and major international cooperation projects of colleges in Guangdong Province (No. 2015KGJHZ026) and Science and Technology Planning Project of Guangdong Province (No. 2017A050506057).

References

  1. 1.
    Zhu, C., Yang, L.T., Shu, L., Rodrigues, J.J.P.C., Hara, T.: A geographic routing oriented sleep scheduling algorithm in duty-cycled sensor networks. In: 2012 IEEE International Conference on Communications (ICC), pp. 5473–5477. IEEE (2012)Google Scholar
  2. 2.
    Zhu, C., Yang, L.T., Shu, L., Duong, T.Q., Nishio, S.: Secured energy-aware sleep scheduling algorithm in duty-cycled sensor networks. In: 2012 IEEE International Conference on Communications (ICC), pp. 1953–1957. IEEE (2012)Google Scholar
  3. 3.
    Zhu, C., Shu, L., Hara, T., Wang, L., Nishio, S., Yang, L.T.: A survey on communication and data management issues in mobile sensor networks. Wirel. Commun. Mobile Comput. 14(1), 19–36 (2014)CrossRefGoogle Scholar
  4. 4.
    Zhu, C., Yang, L.T., Shu, L., Leung, V.C.M., Hara, T., Nishio, S.: Insights of top-k query in duty-cycled wireless sensor networks. IEEE Trans. Ind. Electron. 62(2), 1317–1328 (2015)CrossRefGoogle Scholar
  5. 5.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)CrossRefGoogle Scholar
  6. 6.
    Ye, W., Heidemann, J., Estrin, D.: An energy-efficient MAC protocol for wireless sensor networks. In: The 21st Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM), vol. 3, pp. 1567–1576. IEEE (2002)Google Scholar
  7. 7.
    Texas Instruments: Cc2420: 2.4 GHz IEEE 802.15. 4/ZigBee-ready RF transceiver, vol. 53 (2006). http://wwww.ti.com/lit/gpn/cc2420
  8. 8.
    Carrano, R.C., Passos, D., Magalhaes, L.C., Albuquerque, C.V.: Survey and taxonomy of duty cycling mechanisms in wireless sensor networks. IEEE Commun. Surv. Tutorials 16(1), 181–194 (2014)CrossRefGoogle Scholar
  9. 9.
    Ye, D., Zhang, M.: A self-adaptive sleep/wake-up scheduling approach for wireless sensor networks. IEEE Trans. Cybern. 48(3), 979–992 (2017)CrossRefGoogle Scholar
  10. 10.
    Zhu, C., Chen, Y., Wang, L., Shu, L., Zhang, Y.: SMAC-based proportional fairness backoff scheme in wireless sensor networks. In: The International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 138–142 (2010)Google Scholar
  11. 11.
    Khalil, M.I., Hossain, M.A., Mamtaz, R., Ahmed, I., Akter, M.: Time efficient receiver oriented sleep scheduling for underwater sensor network. In: 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 1–6. IEEE (2017)Google Scholar
  12. 12.
    Wang, D., Mukherjee, M., Shu, L., Chen, Y., Hancke, G.: Sleep scheduling for critical nodes in group-based industrial wireless sensor networks. In: 2017 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 694–698. IEEE (2017)Google Scholar
  13. 13.
    Fang, W., Mukherjee, M., Shu, L., Zhou, Z., Hancke, G.P.: Energy utilization concerned sleep scheduling in wireless powered communication networks. In: 2017 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 558–563. IEEE (2017)Google Scholar
  14. 14.
    Wang, Y., Chen, H., Wu, X., Shu, L.: An energy-efficient SDN based sleep scheduling algorithm for WSNs. J. Netw. Comput. Appl. 59, 39–45 (2016)CrossRefGoogle Scholar
  15. 15.
    Oller, J., Demirkol, I., Casademont, J., Paradells, J., Gamm, G.U., Reindl, L.: Has time come to switch from duty-cycled MAC protocols to wake-up radio for wireless sensor networks? IEEE/ACM Trans. Netw. 24(2), 674–687 (2016)CrossRefGoogle Scholar
  16. 16.
    Baba, S.B., Rao, K.M.: Improving the network life time of a wireless sensor network using the integration of progressive sleep scheduling algorithm with opportunistic routing protocol. Indian J. Sci. Technol. 9(17), 1–6 (2016)Google Scholar
  17. 17.
    Gupta, H.P., Rao, S.V., Venkatesh, T.: Sleep scheduling protocol for \(k\)-coverage of three-dimensional heterogeneous WSNs. IEEE Trans. Veh. Technol. 65(10), 8423–8431 (2016)CrossRefGoogle Scholar
  18. 18.
    Kordafshari, M., Movaghar, A., Meybodi, M.: A joint duty cycle scheduling and energy aware routing approach based on evolutionary game for wireless sensor networks. Iran. J. Fuzzy Syst. 14(2), 23–44 (2017)MathSciNetMATHGoogle Scholar
  19. 19.
    Mostafaei, H., Montieri, A., Persico, V., Pescapé, A.: A sleep scheduling approach based on learning automata for WSN partial coverage. J. Netw. Comput. Appl. 80, 67–78 (2017)CrossRefGoogle Scholar
  20. 20.
    Chen, Z., Liu, A., Li, Z., Choi, Y.-J., Li, J.: Distributed duty cycle control for delay improvement in wireless sensor networks. Peer-to-Peer Netw. Appl. 10(3), 559–578 (2017)CrossRefGoogle Scholar
  21. 21.
    Kumar, S., Kim, H.: Low energy scheduling of minimal active time slots for multi-channel multi-hop convergence wireless sensor networks. In: 2017 International Conference on Computing, Networking and Communications (ICNC), pp. 1051–1057. IEEE (2017)Google Scholar
  22. 22.
    Chen, H., Li, X., Zhao, F.: A reinforcement learning-based sleep scheduling algorithm for desired area coverage in solar-powered wireless sensor networks. IEEE Sens. J. 16(8), 2763–2774 (2016)CrossRefGoogle Scholar
  23. 23.
    Xie, R., Liu, A., Gao, J.: A residual energy aware schedule scheme for WSNs employing adjustable awake/sleep duty cycle. Wirel. Pers. Commun. 90(4), 1859–1887 (2016)CrossRefGoogle Scholar
  24. 24.
    Xu, Z.-Y., Zhao, S.-G., Jing, Z.-J.: A clustering sleep scheduling mechanism based on sentinel nodes monitor for WSN. Int. J. Smart Home 9(1), 23–32 (2015)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Zeyu Zhang
    • 1
  • Lei Shu
    • 1
    • 2
  • Chunsheng Zhu
    • 3
  • Mithun Mukherjee
    • 1
  1. 1.Guangdong Provincial Key Lab of Petrochemical Equipment Fault DiagnosisGuangdong University of Petrochemical TechnologyMaomingChina
  2. 2.School of EngineeringUniversity of LincolnLincolnUK
  3. 3.Department of Electrical and Computer EngineeringThe University of British ColumbiaVancouverCanada

Personalised recommendations