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On Forwarding Protocols in Linear Topology Wake-up Wireless Sensor Networks

  • Jian Wang
  • Xiaolin Xu
  • Xiaoming Hu
  • Wei Wayne Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11280)

Abstract

Wake-up radio (WuR) is a kind of ultra-low power transceiver that consumes energy at 1000 times lower in magnitude when compared to the main radio in traditional wireless sensors. When incorporated, traditional wireless sensor networks are possible to improve energy efficiency and packet delay simultaneously by mitigating idle listening and overhearing issues. In recent years, many works have designed and evaluated the performance of MAC protocols in WuR-enabled yet single-hop (i.e. star-shaped) wireless sensor networks. This paper moves to a multi-hop network and focuses on linear topology WuR-enabled WSNs. It makes practical sense as large-scale WSN topologies could be decomposed into multiple linear topologies. Based on WuR inherent characteristics and also signal interferences among adjacent sensors, we introduce some interesting design ideas and describe our proposed MAC protocol in detail. Analytical results on expected radio-on time of intermediate sensors when waken up are derived. Also numerical results based on normalized per-hop energy and delay ratios show the effectiveness of our protocol. It may serve as an interesting basis for potential researches into more realistically large-scale WuR-enabled WSNs.

Keywords

Wireless sensor network Wake-up radio Linear topology MAC protocol Energy efficiency 

References

  1. 1.
    Ait Aoudia, F., Gautier, M., Magno, M., Berder, O., Benini, L.: A generic framework for modeling MAC protocols in wireless sensor networks. IEEE/ACM Trans. Netw. 25(3), 1489–1500 (2017)CrossRefGoogle Scholar
  2. 2.
    Alfayez, F., Hammoudeh, M., Abuarqoub, A.: A survey on MAC protocols for duty-cycled wireless sensor networks. Procedia Comput. Sci. 73, 482–489 (2015)CrossRefGoogle Scholar
  3. 3.
    Aoudia, F.A., Magno, M., Gautier, M., Berder, O., Benini, L.: Analytical and experimental evaluation of wake-up receivers based protocols. In: 2016 IEEE Global Communications Conference (GLOBECOM), pp. 1–7, December 2016Google Scholar
  4. 4.
    Aoudia, F.A., Gautier, M., Magno, M., Gentil, M.L., Berder, O., Benini, L.: Long-short range communication network leveraging LoRa and wake-up receiver. Microprocess. Microsyst. 56, 184–192 (2018)CrossRefGoogle Scholar
  5. 5.
    Ghose, D., Li, F.Y.: Enabling backoff for SCM wake-up radio: protocol and modeling. IEEE Commun. Lett. 21(5), 1031–1034 (2017)CrossRefGoogle Scholar
  6. 6.
    Ghose, D., Li, F.Y., Pla, V.: MAC protocols for wake-up radio: principles, modeling and performance analysis. IEEE Trans. Ind. Inform. 14(5), 2294–2306 (2018)CrossRefGoogle Scholar
  7. 7.
    Guntupalli, L., Ghose, D., Li, F.Y., Gidlund, M.: Energy efficient consecutive packet transmissions in receiver-initiated wake-up radio enabled wsns. IEEE Sens. J. 18(11), 4733–4745 (2018)CrossRefGoogle Scholar
  8. 8.
    Iwata, M., Tang, S., Obana, S.: Sink-based centralized transmission scheduling by using asymmetric communication and wake-up radio. In: 2017 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6, March 2017Google Scholar
  9. 9.
    Magno, M., Jelicic, V., Srbinovski, B., Bilas, V., Popovici, E., Benini, L.: Design, implementation, and performance evaluation of a flexible low-latency nanowatt wake-up radio receiver. IEEE Trans. Ind. Inform. 12(2), 633–644 (2016)CrossRefGoogle Scholar
  10. 10.
    Mazloum, N.S., Edfors, O.: Influence of duty-cycled wake-up receiver characteristics on energy consumption in single-hop networks. IEEE Trans. Wirel. Commun. 16(6), 3870–3884 (2017)CrossRefGoogle Scholar
  11. 11.
    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
  12. 12.
    Piyare, R., Murphy, A.L., Kiraly, C., Tosato, P., Brunelli, D.: Ultra low power wake-up radios: a hardware and networking survey. IEEE Commun. Surv. Tutor. 19(4), 2117–2157 (2017). FourthquarterCrossRefGoogle Scholar
  13. 13.
    Tang, S., Li, W.: QoS supporting and optimal energy allocation for a cluster based wireless sensor network. Comput. Commun. 29(13), 2569–2577 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Jian Wang
    • 1
  • Xiaolin Xu
    • 1
  • Xiaoming Hu
    • 1
  • Wei Wayne Li
    • 2
  1. 1.Shanghai Polytechnic UniversityShanghaiChina
  2. 2.Texas Southern UniversityHoustonUSA

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