Skip to main content

Performance Analysis of 3D WSN with Change in Rain Intensity

  • Conference paper
  • First Online:
Proceedings of 2nd International Conference on Communication, Computing and Networking

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 46))

Abstract

Can the intensity of rainfall have major impact on terrestrial wireless communication? Using simulated results, we will look into the possibilities in this paper. The interest in developing wireless sensor network is of high importance in recent days specially looking into factors which affect the rate of data communication. Weather can be such an external factor to hamper the communication unexpectedly and at any time. In this paper, we have analyzed factors such as messages received, throughput, delay, and jitter under various intensity of rainfall in a particular scenario designed in 3D, using IEEE 802.15.4 standards. Dynamic Manet On-Demand (DYMO) was considered as the routing protocol in the simulation. Extensive simulations are done using QualNet 6.1 network simulator to validate the results and compare the graphs for better understanding. We believe this type of research work can trigger new techniques to better project the execution of WSN in its destined deployment environment.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Institutional subscriptions

References

  1. R.T. Manju, M.K. Jyoti, Performance evaluation of bellman-ford, AODV, DSR and DYMO protocols using qualnet in 1000 × 1000 m terrain area. Int. J. Soft Comput. Eng. (IJSCE) ISSN 2(6), 2231–2307, Jan (2013)

    Google Scholar 

  2. T. Ranjana, J. Sharma, M. Khurana, M.K. Jha, QoS evaluation of energy-efficient ML-MAC protocol for wireless sensor networks. AEU-Int. J. Electr. Commun. 67(12), 1048–1053 (2013)

    Article  Google Scholar 

  3. K. Manju, J. Sharma, T. Ranjana, M.K. Jha, Direction determination in wireless sensor networks using grid topology. J. Emerg. Technol. Web Intell. 5(2), 166–170 (2013)

    Google Scholar 

  4. R. Marfievici, A.L. Murphy, G.P. Picco, F. Ossi, F. Cagnacci, How environmental factors impact outdoor wireless sensor networks: a case study. In IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) (Oct 2013), pp. 565–573

    Google Scholar 

  5. C.A. Boano, M. Zúñiga, J. Brown, U. Roedig, C. Keppitiyagama, K. Römer, Templab: a testbed infrastructure to study the impact of temperature on wireless sensor networks. In Proceedings of the 13th international symposium on Information processing in sensor networks (IEEE Press, Apr 2014), pp. 95–106

    Google Scholar 

  6. G. Anastasi, A. Falchi, A. Passarella, M. Conti, E. Gregori, Performance measurements of motes sensor networks. In Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems (ACM, 2004), pp. 174–181

    Google Scholar 

  7. N. Hameed, T. Mehmood, H.U. Manzoor, Effect of weather conditions on FSO link based in Islamabad, arXiv preprint arXiv:1711.10869, Nov (2017)

  8. K. Bannister, G. Giorgetti, S.K.S. Gupta, Wireless sensor networking for hot applications: effects of temperature on signal strength, data collection and localization, In Proceedings of the 5th Workshop on Embedded Networked Sensors (HotEmNets’ 08), March (2008)

    Google Scholar 

  9. S. Nadeem Farukh, E. Leitgeb Chessa, S. Zaman, The effects of weather on the life time of wireless sensor networks using FSO/RF communication. radioengineering, 19(2), 262–270 (2010)

    Google Scholar 

  10. R. Marfievici, A.L. Murphy, G.P. Picco, F. Ossi, F. Cagnacci, How environmental factors impact outdoor wireless sensor networks: a case study, In Mobile Ad-Hoc and Sensor Systems (MASS), 2013 IEEE 10th International Conference on, October 2013, pp. 565–573

    Google Scholar 

  11. R. Thalore, P.P. Bhattacharya, M.K. Jha, “Performance Comparison of Homogeneous and Heterogeneous 3D Wireless Sensor Networks,” Journal of Telecommunications and Information Technolog,, 2, 32–37 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raunak Monir .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Monir, R., Thalore, R., Bhattacharya, P.P. (2019). Performance Analysis of 3D WSN with Change in Rain Intensity. In: Krishna, C., Dutta, M., Kumar, R. (eds) Proceedings of 2nd International Conference on Communication, Computing and Networking. Lecture Notes in Networks and Systems, vol 46. Springer, Singapore. https://doi.org/10.1007/978-981-13-1217-5_15

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1217-5_15

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1216-8

  • Online ISBN: 978-981-13-1217-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics