Skip to main content

Part of the book series: Springer Tracts in Civil Engineering ((SPRTRCIENG))

  • 181 Accesses

Abstract

In this chapter, a probabilistic sensing model for sensor deployment is proposed firstly, and an improved discrete particle swarm optimization algorithm is developed for optimal sensor deployment (OSD) on planar structure and in spatial structure, and the numerical examples indicate that the gbest solution can obtain the OSD whether the sensors are uniform or combinational.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Akyildiz IF, Su W, Sankarasubramaniam Y et al (2002) A survey on sensor networks [J]. IEEE Commun Mag 40(8):102–114

    Article  Google Scholar 

  2. Abidi BR, Aragam NR, Yao Y et al (2009) Survey and analysis of multimodal sensor planning and integration for wide area surveillance [J]. ACM Comput Surv 41(1):7.1–7:36

    Google Scholar 

  3. Kim S, Pakzad S, Culler D et al (2007) Health monitoring of civil infrastructures using wireless sensor networks [C]. In: IPSN '07: Proceedings of the 6th international conference on information processing in sensor networks, pp 254–263

    Google Scholar 

  4. Li H-N, Li D-S, Song G-B (2004) Recent applications of fiber optic sensors to health monitoring in civil engineering [J]. Eng Struct 26(11):1647–1657

    Article  Google Scholar 

  5. Vanik MW, Beck JL, Au SK (2014) Bayesian probabilistic approach to structural health monitoring [J]. J Eng Mech 126(7):738–745

    Google Scholar 

  6. Dingxing Z, Ming X, Yingwen C et al (2006) Probabilistic coverage configuration for wireless sensor networks [C]. In: 2006 International conference on wireless communications, networking and mobile computing. IEEE, pp 1–4

    Google Scholar 

  7. Wang Y-C, Tseng Y-C (2008) Distributed deployment schemes for mobile wireless sensor networks to ensure multilevel coverage [J]. IEEE Trans Parallel Distrib Syst 19(9):1280–1294

    Article  Google Scholar 

  8. Liu B, TowsleyD (2004) A study of the coverage of large-scale sensor networks [C]. In: 2004 IEEE International conference on mobile ad-hoc and sensor systems (IEEE Cat. No.04EX975). IEEE, pp 475–483

    Google Scholar 

  9. Akbarzadeh V, Gagne C, Parizeau M et al (2013) Probabilistic sensing model for sensor placement optimization based on line-of-sight coverage [J]. IEEE Trans Instrum Meas 62(2):293–303

    Article  Google Scholar 

  10. Zhou Z, Das S, Gupta H (2004) Connected k-coverage problem in sensor networks [C]. In: Proceedings of the 13th international conference on computer communications and networks (IEEE Cat. No.04EX969). IEEE, pp 373–378

    Google Scholar 

  11. Ammari HM, Das SK (2012) Centralized and clustered k-coverage protocols for wireless sensor networks [J]. IEEE Trans Comput 61(1):118–133

    Article  MathSciNet  MATH  Google Scholar 

  12. Rapaić MR, Kanović Ž, Jeličić ZD (2008) Discrete particle swarm optimization algorithm for solving optimal sensor deployment problem [J]. J Autom Control 18(1):9–14

    Article  Google Scholar 

  13. Wu Q, Rao NSV, Du X et al (2007) On efficient deployment of sensors on planar grid [J]. Comput Commun 30(14–15):2721–2734

    Article  Google Scholar 

  14. Garey MR, Johnson DS (2002) Computers and intractability: a guide to the theory of NP-completeness, vol 29. [M]. W. H. Freeman and Company

    Google Scholar 

  15. Albayrak M, Allahverdi N (2011) Development a new mutation operator to solve the traveling salesman problem by aid of genetic algorithms [J]. Expert Syst Appl 38(3):1313–1320

    Article  Google Scholar 

  16. Zou D, Gao L, Li S et al (2011) Solving 0–1 knapsack problem by a novel global harmony search algorithm [J]. Appl Soft Comput 11(2):1556–1564

    Article  Google Scholar 

  17. Ke W-C, Liu B-H, Tsai M-J (2007) Constructing a wireless sensor network to fully cover critical grids by deploying minimum sensors on grid points is NP-complete [J]. IEEE Trans Comput 56(5):710–715

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Huang, W., Xu, J. (2023). Optimal Sensors Deployment. In: Optimized Engineering Vibration Isolation, Absorption and Control . Springer Tracts in Civil Engineering . Springer, Singapore. https://doi.org/10.1007/978-981-99-2213-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-2213-0_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2212-3

  • Online ISBN: 978-981-99-2213-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics