Skip to main content

Opportunistic Data Collection and Routing in Segmented Wireless Sensor Networks

  • Conference paper
  • First Online:
  • 1600 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11803))

Abstract

In this paper we address routing in the context of segmented wireless sensor networks in which a mobile entity, known as MULE, may collect data from the different subnetworks and forward it to a sink for processing. The chosen settings are inspired by the potential application of wireless sensor networks for airport surface monitoring. In such an environment, the subnetworks could take advantage of airport service vehicles, buses or even taxiing aircraft to transfer information to the sink (e.g., control tower), without interfering with the regular functioning of the airport. Generally, this kind of communication problem is addressed in the literature considering a single subsink in each subnetwork. We consider in this paper the multiple subsinks case and propose two strategies to decide when and where (to which subsink) sensor nodes should transmit their sensing data. Through a dedicated simulation model we have developed, we assess and compare the performance of both strategies in terms of packet delivery ratio, power consumption and workload balance among subsinks. This paper is an intermediate step in the research of this problem, which evidences the benefit of storing the information on the subsinks and distributing it among them before the arrival of the MULE. Based on results, we provide some information on further works.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Shah, R.C., Roy, S., Jain, S., Brunette, W.: Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks. Ad Hoc Netw. 1(2–3), 215–233 (2003)

    Article  Google Scholar 

  2. Bertoldo, S., Carosso, L., Marchetta, E., Paredes, M., Allegretti, M.: Feasibility analysis of a LoRa-based WSN using public transport. Appl. Syst. Innov. 1(4), 49 (2018)

    Article  Google Scholar 

  3. Ma, M., Yang, Y.: Data gathering in wireless sensor networks with mobile collectors. In: 2008 IEEE International Symposium on Parallel and Distributed Processing, pp. 1–9. IEEE (2008)

    Google Scholar 

  4. Wu, F.-J., Huang, C.-F., Tseng, Y.-C.: Data gathering by mobile mules in a spatially separated wireless sensor network. In: 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, pp. 293–298. IEEE (2009)

    Google Scholar 

  5. Singh, S.K., Kumar, P.: A mobile sinks based data collection scheme for isolated wireless sensor networks. In: Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT) (2018)

    Google Scholar 

  6. Tseng, Y.-C., Lai, W.-T., Huang, C.-F., Wu, F.-J.: Using mobile mules for collecting data from an isolated wireless sensor network. In: 2010 39th International Conference on Parallel Processing, pp. 673–679. IEEE (2010)

    Google Scholar 

  7. Tseng, Y.-C., Fang-Jing, W., Lai, W.-T.: Opportunistic data collection for disconnected wireless sensor networks by mobile mules. Ad Hoc Netw. 11(3), 1150–1164 (2013)

    Article  Google Scholar 

  8. Winter, T., et al.: RPL: IPv6 routing protocol for low-power and lossy networks. Technical report, Internet Engineering Task Force (2012)

    Google Scholar 

  9. Clausen, T., Herberg, U.: Comparative study of RPL-enabled optimized broadcast in wireless sensor networks. In: 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 7–12. IEEE (2010)

    Google Scholar 

  10. Varga, A.: OMNeT++. In: Wehrle, K., Güneş, M., Gross, J. (eds.) Modeling and Tools for Network Simulation, pp. 35–59. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12331-3_3

    Chapter  Google Scholar 

  11. Hof, H.-J.: Applications of sensor networks. In: Wagner, D., Wattenhofer, R. (eds.) Algorithms for Sensor and Ad Hoc Networks. LNCS, vol. 4621, pp. 1–20. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74991-2_1

    Chapter  Google Scholar 

  12. Ciciriello, P., Mottola, L., Picco, G.P.: Efficient routing from multiple sources to multiple sinks in wireless sensor networks. In: Langendoen, K., Voigt, T. (eds.) EWSN 2007. LNCS, vol. 4373, pp. 34–50. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-69830-2_3

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juliette Garcia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Garcia, J., Pirovano, A., Royer, M. (2019). Opportunistic Data Collection and Routing in Segmented Wireless Sensor Networks. In: Palattella, M., Scanzio, S., Coleri Ergen, S. (eds) Ad-Hoc, Mobile, and Wireless Networks. ADHOC-NOW 2019. Lecture Notes in Computer Science(), vol 11803. Springer, Cham. https://doi.org/10.1007/978-3-030-31831-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-31831-4_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31830-7

  • Online ISBN: 978-3-030-31831-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics