Skip to main content

Mobile Sensors Deployment Methods: A Review

  • Conference paper
  • First Online:
Intelligent Communication, Control and Devices

Abstract

Usage of wireless sensor networks has become inevitable in the field of international border monitoring and zone surveillance. This application of sensors requires a barrier of sensors along the border to be monitored. The more the number of barriers, the better the monitoring system. Usage of a number of sensor nodes (SNs) in a specific configuration leads to the formation of a specific number of barriers. The challenge here is to develop a deployment algorithm, which provides the maximum number of barriers with the minimum number of SN relocation. Wireless Sensor Networks are used in hazardous environments and are preferred to be aerially deployed. In this paper, various methods of Mobile Sensor deployment methods are discussed along with their pros and cons. A comparative study is done based on many factors such as relocation distance, obstacle avoidance, scalability, etc.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  1. Nguyen, T.G., So-In, C.: Distributed deployment algorithm for barrier coverage in mobile sensor networks. Post-doctoral training program, Khon Kaen University, IEEE (2018)

    Article  Google Scholar 

  2. Jun, H.E., Hongchi, S.H.I.: Constructing sensor barriers with minimum cost in wireless sensor networks. J. Parallel Distrib. Comput. 72(12), 1654–1663 (2012)

    Article  Google Scholar 

  3. Liu, B., Dousse, O., Wang, J., et al.: Strong barrier coverage of wireless sensor networks. In: Proceedings of the 9th ACM International Symposium on Mobile ad hoc Networking and Computing, ACM, pp. 411–420 (2008)

    Google Scholar 

  4. Kumar, S., Lai, T.H., Posner, M.E, et al.: Optimal sleep-wake up algorithms for barriers of wireless sensors. In: 2007 Fourth International Conference on Broadband Communications, Networks and Systems, BROADNETS, IEEE, pp. 327–336 (2007)

    Google Scholar 

  5. Chang, C.Y., Hsiao, C.Y., Chin, Y.T.: The k-barrier coverage mechanism in wireless mobile sensor networks. In: Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia, ACM (2014)

    Google Scholar 

  6. Mostafaei, H.: Stochastic barrier coverage in wireless sensor networks based on distributed learning automata. Comput. Commun. 55(1), 51–61 (2015)

    Article  MathSciNet  Google Scholar 

  7. Zou, Y., Chakrabarty, K.: Sensor deployment and target localization based on virtual forces. In: Twenty-Second Annual Joint Conference of the IEEE Computer and Communications (INFOCOM), vol. 2, no. C, pp. 1293–1303 (2003). https://doi.org/10.1109/INFCOM.2003.1208965

  8. Tan, G., Jarvis, S.A., Kermarrec, A.M.: Connectivity-guaranteed and obstacle-adaptive deployment schemes for mobile sensor networks. IEEE Trans. Mob. Comput. 8(6), 836–848 (2009). https://doi.org/10.1109/TMC.2009.31

    Article  Google Scholar 

  9. Bartolini, N., Calamoneri, T., Fusco, E.G., Massini, A., Silvestri, S.: Autonomous deployment of self-organizing mobile sensors for a complete coverage. In: Self-Organizing Systems, pp. 194–205 (2008). https://doi.org/10.1007/978-3-540-92157-8_17

    Chapter  Google Scholar 

  10. Kumar, A., Sharma, V., Prasad, D.: Distributed deployment scheme for homogeneous distribution of randomly deployed mobile sensor nodes in wireless sensor network. (IJACSA) Int. J. Adv. Comput. Sci. Appl. 4(4), 139–146 (2013). Retrieved from www.ijacsa.thesai.org

  11. Gupta, M., Krishna, C.R., Prasad, D.: SEEDS: scalable energy efficient deployment scheme for homogeneous wireless sensor network. In: Proceedings of the 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014, pp. 416–423 (2014). https://doi.org/10.1109/ICICICT.2014.6781318

  12. Moreira, J.E., Rebello, V.E.F.: Proceedings of the 22nd International Symposium on Computer Architecture and High-Performance Computing, SBAC-PAD 2010: Message from the program committee co-chairs, 00(C), pp. 1597–1602 (2010). https://doi.org/10.1109/SBAC-PAD.2010.6

  13. Lee, H.J., Kim, Y.H., Han, Y.H., Park, C.Y.: Centroid-based movement assisted sensor deployment schemes in wireless sensor networks. IEEE Veh. Technol. Conf. (2009). https://doi.org/10.1109/VETECF.2009.5379087

  14. Liao, W.H., Kao, Y., Li, Y.S.: A sensor deployment approach using glowworm swarm optimization algorithm in wireless sensor networks. Expert Syst. Appl. 38(10), 12180–12188 (2011). https://doi.org/10.1016/j.eswa.2011.03.053

    Article  Google Scholar 

  15. Zhang, Y., Sun, X., Wang, B.: Efficient algorithm for k-barrier coverage based on integer linear programming. China Commun. 13(7), 16–23 (2016). https://doi.org/10.1109/CC.2016.7559071

    Article  Google Scholar 

  16. Ma, H., Li, D., Chen, W., Zhu, Q., Yang, H.: Energy efficient k-barrier coverage in limited mobile wireless sensor networks. Comput. Commun. 35(14), 1749–1758 (2012). https://doi.org/10.1016/j.comcom.2012.04.021

    Article  Google Scholar 

  17. Wang, G., Member, S., Cao, G.: Movement-assisted sensor deployment. IEEE Trans. Mob. Comput. 5(6), 640–652 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vinay Chowdary .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Thrilochan Sharma, P., Choudhury, S., Chowdary, V. (2020). Mobile Sensors Deployment Methods: A Review. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_91

Download citation

Publish with us

Policies and ethics