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Delay-tolerant sensing data delivery for IoT network by using signal strength information

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Abstract

Conventional cellular technology is being extended for Internet of Thing(IoT) network, which needs to support relatively small amount of traffic generated by a large number of devices. This so-called Machine-Type Communication(MTC) cellular however is not a universal solution for IoT connectivity. It may be infeasible to equip some IoT devices with MTC cellular due to manufacturing cost, operation fee, limited battery lifetime, etc. For low-power IoT devices, using shorter range radios (e.g., IEEE 802.15.4) is more viable. Sensing data generated by the IoT devices are delivered to the IoT gateway by the forwarding of other nodes without relying on cellular links. Such peer-to-peer data delivery may utilize ’muling’ (i.e., data is stored and carried by mobile nodes) if the forwarding path may not be immediately available. Since muling will extend the delivery delay, it is suitable for the IoT applications that can tolerate relatively large message delivery delay. In this paper, we propose a peer-to-peer DTN (Delay Tolerant Network) routing scheme for IoT network. To enhance routing efficiency, we utilize the location information of the nodes. Our scheme does not rely on expensive location tracking methods like GPS or triangulation. Instead, we use RSSI (Received Signal Strength Indicator) which is readily available in virtually any wireless network at low cost. It is shown that the proposed scheme clearly outperforms the existing schemes via extensive simulations.

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Notes

  1. In mountain climbing, a person who knows the height of the destination climbs up the mountain. The RSSI of the destination corresponds to the height of the destination in mountain climbing.

References

  1. 3GPP TS 23.682 V.13.3.0, Architecture enhancements to facilitate communications with packet data networks and applications, 3GPP, 2015

  2. R2-104662: MTC simulation results with specific solutions, presented at the 3GPP TSG RAN WG2 Meeting 71, Madrid, Spain, 2010

  3. Cheng RG, Wei CH, Tsao SL, Ren FC (2012) RACH collision probability for machine-type communications. In: Proceedings IEEE VTC spring

  4. Guo B, Zhang D, Wang Z, Yu Z, Zhou X (2013) Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things. Elsevier J Netw Comput Appl 36(6):1531– 1539

    Article  Google Scholar 

  5. Al-Turjman FM et al (998) A delay-tolerant framework for integrated RSNs in IoT. Elsevier Comput Commun 36(9)

  6. Spyropoulos T, Psounis K, Raghavendra CS (2006) Performance analysis of mobility-assisted routing. In: Proceedings ACM MobiHoc

  7. Vahdat A, Becker D (2000) Epidemic routing for partially connected ad hoc networks Technical Report CS-200006. Duke University

  8. Keranen A, Ott J, Karkkainen T (2009) The ONE simulator for DTN protocol evaluation. In: Proceedings ACM SIMUTools

  9. Jain S, Fall K, Patra R (2004) Routing in a delay tolerant network. In: Proceedings ACM SIGCOMM

  10. Spyropoulos T, Psounis K, Raghavendra CS (2005) Spray and wait: An efficient routing scheme for intermittently connected mobile networks. In: Proceedings ACM WDTN

  11. Spyropoulos T, Psounis K, Raghavendra CS (2007) Spray and focus: Efficient mobility-assisted routing for heterogeneous and correlated mobility. In: Proceedings IEEE PerCom Workshop

  12. Nelson S, Bakht M, Kravets R, Harris AF (2009) Encounter-based routing in DTNs. In: Proceedings IEEE INFOCOM

  13. Lindgren A, Doria A, Schelén O (2003) Probabilistic routing in intermittently connected networks. In: Proceedings ACM SIGMOBILE

  14. Henrksson D, Abdelzaher T, Ganti RK (2007) A caching based approach to routing in delay-tolerant networks. In: Proceedings IEEE ICCCN

  15. Spyropoulos T, Psounis K, Raghavendra CS (2004) Single-copy routing in intermittently connected mobile networks. In: Proceedings IEEE SECON

  16. Hui P, Crowcroft J (2007) How small labels create big improvements. In: Proceedings IEEE PERCOM

  17. Hui P, Crowcroft J, Yoneki E (2008) BUBBLE Rap: Social-based forwarding in delay tolerant networks. In: Proceedings ACM MobiHoc

  18. Daly EM, Haahr M (2007) Social network analysis for routing in disconnected delay-tolerant manets. In: Proceedings ACM MobiHoc

  19. Thompson N, Nelson S, Bakht M, Abdelzaher T, Kravets R (2010) Retiring replicants: congestion control for intermittently-connected networks. In: Proceedings IEEE INFOCOM

  20. Rhee I, Shin M, Hong S, Lee K, Kim S, Chong S (2009) {CRAWDAD} trace ncsu/mobilitymodels/GPS/NCSU(v.2009-07-23)

  21. Zhu Q, Wang R, Chen Q, Liu Y, Qin W (2010) Iot gateway: Bridgingwireless sensor networks into internet of things. In: Proceedings IEEE EUC

  22. Guoqiang S, Yanming C, Chao Z, Yanxu Z (2013) Design and implementation of a smart IoT gateway. In: Proceedings IEEE GreanCom and iThings/CPSCom

  23. Mei A, Stefa J (2009) SWIM: A simple model to generate small mobile worlds. In: Proceedings IEEE INFOCOM

  24. Musolesi M, Mascolo C (2006) A community based mobility model for ad hoc network research. In: Proceedings ACM REALMAN

  25. Boldrini C, Passarella A (2010) HCMM: Modelling spatial and temporal properties of human mobility driven by users’ social relationships, vol 33, pp 1056–1074

  26. Huo G, Wang X (2008) An opportunistic routing for mobile wireless sensor networks based on RSSI. In: Proceedings IEEE WICOM

  27. Mei H, Jiang P, Bigham J (2011) Augmenting coverage in a cellular network with DTN routing. In: Proceedings IEEE WCNC

  28. Kim S, Han S (2012) Contour routing for peer-to-peer DTN delivery in cellular networks. In: Proceedings IEEE COMSNETS

  29. Orrevad A (2009) M2M traffic characteristics. KTH Information and Communication Technology, Stockholm, Sweden

  30. Sichitiu ML, Ramadurai V (2004) Localization of wireless sensor networks with a mobile beacon. In: Proceedings IEEE MASS

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Acknowledgments

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MEST) (NRF-2013R1A2A2A01068325).

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Correspondence to Sun-Hyun Kim or Seung-Jae Han.

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An earlier version of this paper is published in [28].

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Kim, SH., Han, SJ. Delay-tolerant sensing data delivery for IoT network by using signal strength information. Peer-to-Peer Netw. Appl. 11, 181–197 (2018). https://doi.org/10.1007/s12083-016-0536-2

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