Skip to main content

Intelligent Applications of WSN in the World: A Technological and Literary Background

  • Chapter
  • First Online:
Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's

Abstract

Where Wireless Sensor Networks (WSNs) have been widely considered to be an important technology in the 21st century, the group of specialized devices or sensors that are used to monitor different environmental conditions and collect and organize this data at some central location, detect and measure the number of physical conditions such as humidity, temperature, sound, pressure, speed and direction, chemical concentrations, vibrations, pollutant levels. As a tremendous application ranging from monitoring, surveillance, forest fire detection, and many other applications, it is, therefore, a promising technology for achieving energy-efficient, reliable and cost-effective flawless monitoring and control in smart grids. state-of-the-art infrastructure for greater efficiency, reliability, and security with harmonious integration of renewable energy and alternative energy sources through automation control and modern communication techniques. Advances in the field of communication networking are becoming a very interesting and challenging area of networking, with sensors deployed in everyday objects to capture everyday information such as humidity, temperature, heartbeat, motion, and others. With these sensors and microcomputers, the object for integrating the Internet set of things (IoT), becoming intelligent objects. Therefore, this chapter aims to provide an overview of the WSN application in the smart grid, in intelligent transportation, in smart homes, in the same way as Smart Agriculture, and the joint use with IoT and Smart Cities, showing and approaching its success relation, with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.

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
Hardcover Book
USD 219.99
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

Similar content being viewed by others

References

  1. Miettinen, M., Asokan, N.: Ad-hoc key agreement: a brief history and the challenges ahead. Comput. Commun. 131, 32–34 (2018)

    Article  Google Scholar 

  2. Shaikh, F.K., Zeadally, S.: Energy harvesting in wireless sensor networks: a comprehensive review. Renew. Sustain. Energy Rev. 55, 1041–1054 (2016)

    Article  Google Scholar 

  3. Pathan, A.K. (ed.): Security of Self-Organizing Networks: MANET, WSN, WMN, VANET. CRC Press, New York (2016)

    Google Scholar 

  4. Papadopoulos, G.Z., et al.: Performance evaluation methods in ad hoc and wireless sensor networks: a literature study. IEEE Commun. Mag. 54(1), 122–128 (2016)

    Article  MathSciNet  Google Scholar 

  5. Liang, S.H.L.: Sensor networks, the sensor web, and the Internet of Things. In: International Encyclopedia of Geography: People, the Earth, Environment and Technology: People, the Earth, Environment and Technology, pp. 1–17 (2016)

    Google Scholar 

  6. Khan, I., et al.: Wireless sensor network virtualization: a survey. IEEE Commun. Surv. Tutor. 18(1), 553–576 (2015)

    Article  Google Scholar 

  7. Al-Suhail, G.A., Mehdi, J., Nikolakopoulos, G.: A practical survey on wireless sensor network platforms. J. Commun. Technol. Electron. Comput. Sci. 13, 23–30 (2017)

    Google Scholar 

  8. Kaur, H., Sharad, S.: UWDBCSN analysis during node replication attack in WSN. In: Handbook of Research on Information Security in Biomedical Signal Processing. IGI Global, pp. 210–227 (2018)

    Google Scholar 

  9. Singh, S., Sharma, S.R.: Localization system optimization in wireless sensor networks (LSO-WSN). In: Handbook of Research on Wireless Sensor Network Trends, Technologies, and Applications. IGI Global, pp. 1–34 (2017)

    Google Scholar 

  10. Mohamed, S.M., Haitham, S.H., Iman, A.S.: Coverage in mobile wireless sensor networks (M-WSN): a survey. Comput. Commun. 110, 133–150 (2017)

    Article  Google Scholar 

  11. Yang, L., et al.: Survey and study on intelligent monitoring and health management for large civil structure. Int. J. Intell. Robot. Appl. 3, 239–254 (2019)

    Article  Google Scholar 

  12. Oladimeji, M.O.: Computational intelligence algorithms for optimisation of wireless sensor networks. Dissertation London South Bank University (2017)

    Google Scholar 

  13. Ray, N.K., Ashok, K.T. (eds.): Handbook of Research on Advanced Wireless Sensor Network Applications, Protocols, and Architectures. IGI Global, Hershey (2016)

    Google Scholar 

  14. Yang, X., Dengteng, D., Meifeng, L.: An overview of routing protocols on wireless sensor network. In: 4th International Conference on Computer Science and Network Technology (ICCSNT), vol. 1. IEEE (2015)

    Google Scholar 

  15. Kumar, A.: Energy efficient clustering algorithm for wireless sensor network. Doctoral Dissertation, Lovely Professional University (2017)

    Google Scholar 

  16. Ilyas, M., Imad, M.: Smart Dust: Sensor Network Applications. Architecture and Design. CRC Press, New York (2018)

    Book  Google Scholar 

  17. Yetgin, H., et al.: A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Commun. Surv. Tutor. 19(2), 828–854 (2017)

    Article  Google Scholar 

  18. Sabato, A., Niezrecki, C., Fortino, G.: Wireless MEMS-based accelerometer sensor boards for structural vibration monitoring: a review. IEEE Sens. J. 17(2), 226–235 (2016)

    Article  Google Scholar 

  19. Sarangapani, J.: Wireless Ad Hoc and Sensor Networks: Protocols, Performance, and Control. CRC Press, New York (2017)

    Book  MATH  Google Scholar 

  20. Yang, C., et al.: Big-sensing-data curation for the cloud is coming: a promise of scalable cloud-data-center mitigation for next-generation IoT and wireless sensor networks. IEEE Consumer Electron. Mag. 6(4), 48–56 (2017)

    Article  Google Scholar 

  21. Vasuhi, S., Vaidehi, V.: Target tracking using interactive multiple model for wireless sensor network. Inf. Fusion 27, 41–53 (2016)

    Article  Google Scholar 

  22. Warrier, M.M., Kumar, A.: An energy efficient approach for routing in wireless sensor networks. Procedia Technol. 25, 520–527 (2016)

    Article  Google Scholar 

  23. Shu, T., et al.: An energy-efficient dual prediction scheme using LMS filter and LSTM in wireless sensor networks for environment monitoring. IEEE IoT J. (2019)

    Google Scholar 

  24. Xia, H., Zhang, R.H., Yu, J., Pan, Z.K.: Energy-efficient routing algorithm based on unequal clustering and connected graph in wireless sensor networks. Int. J. Wirel. Inf. Netw. 23(2), 141–150 (2016)

    Article  Google Scholar 

  25. Xu, Q., Zhao, J.: A WSN architecture based on SDN. In: 4th International Conference on Information Systems and Computing Technology, Atlantis Press (2016)

    Google Scholar 

  26. Acharyya, I.S., Al-Anbuky, A., Sivaramakrishnan, S.: Software-defined sensor networks: towards flexible architecture supported by virtualization. In: Global IoT Summit (GIoTS). IEEE (2019)

    Google Scholar 

  27. Iqbal, M., et al.: Hybrid tree-like mesh topology as new wireless sensor network platform. Telkomnika 14(3) (2016)

    Article  Google Scholar 

  28. Bera, S., et al.: Soft-WSN: software-defined WSN management system for IoT applications. IEEE Syst. J. 12(3), 2074–2081 (2016)

    Article  MathSciNet  Google Scholar 

  29. Toldov, V., Laurent, C., Mitton, N.: Multi-channel distributed MAC protocol for WSN-based wildlife monitoring. In: 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE (2018)

    Google Scholar 

  30. David, D.S., Jeyachandran, A: A comprehensive survey of security mechanisms in healthcare applications. In: International Conference on Communication and Electronics Systems (ICCES). IEEE (2016)

    Google Scholar 

  31. Li, X., et al.: A review of industrial wireless networks in the context of industry 4.0. Wirel. Netw. 23(1), 23–41 (2017)

    Article  MathSciNet  Google Scholar 

  32. Xu, L.D., Xu, E.L., Ling, L.: Industry 4.0: state of the art and future trends. Int. J. Prod. Res. 56(8), 2941–2962 (2018)

    Article  Google Scholar 

  33. Chaulya, S., Prasad, G.M.: Sensing and Monitoring Technologies for Mines and Hazardous Areas: Monitoring and Prediction Technologies. Elsevier, Amsterdam (2016)

    Google Scholar 

  34. Olasupo, T.O., et al.: Empirical path loss models for wireless sensor network deployments in short and tall natural grass environments. IEEE Trans. Antennas Propag. 64(9), 4012–4021 (2016)

    MathSciNet  MATH  Google Scholar 

  35. Borra, S., Rohit, T., Nilanjan, D.: Applied examples. In: Satellite Image Analysis: Clustering and Classification, pp. 83–97. Springer, Singapore (2019)

    Chapter  Google Scholar 

  36. Chia-Hui, L., Yu-Fang, C.: Secure user authentication scheme for wireless healthcare sensor networks. Comput. Electr. Eng. 59, 250–261 (2017)

    Article  Google Scholar 

  37. Alvarez, F., et al.: Behavior analysis through multimodal sensing for care of Parkinson’s and Alzheimer’s patients. IEEE Multimed. 25(1), 14–25 (2018)

    Article  Google Scholar 

  38. Ghaffari, A.: Congestion control mechanisms in wireless sensor networks: a survey. J. Netw. Comput. Appl. 52, 101–115 (2015)

    Article  Google Scholar 

  39. Hammoudeh, M.: Applying wireless sensor networks to solve real-world problems. In: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication. ACM (2015)

    Google Scholar 

  40. Pirbhulal, S., et al.: A novel secure IoT-based smart home automation system using a wireless sensor network. Sensors 17(1), 69 (2017)

    Google Scholar 

  41. Nisar, K., et al.: Smart home for elderly living using wireless sensor networks and an android application. In: IEEE 10th International Conference on Application of Information and Communication Technologies (AICT). IEEE (2016)

    Google Scholar 

  42. Ahmad, I., Khalil, S., Saif, U.: Military applications using wireless sensor networks: a survey. Int. J. Eng. Sci. 6(6), 7039 (2016)

    Google Scholar 

  43. Ismail, M.N., et al.: Establishing a soldier wireless sensor network (WSN) communication for military operation monitoring. Int. J. Inf. Commun. Technol. 7, 89–95 (2018)

    Google Scholar 

  44. Asici, T.Z., et al.: Applying model driven engineering techniques to the development of contiki-based IoT systems. In: Proceedings of the 1st International Workshop on Software Engineering Research & Practices for the Internet of Things. IEEE Press (2019)

    Google Scholar 

  45. Banđur, Đ., et al.: An analysis of energy efficiency in wireless sensor networks (WSNs) applied in smart agriculture. Comput. Electron. Agric. 156, 500–507 (2019)

    Article  Google Scholar 

  46. Venkatesh, G., Chandramouli, P.: An IOT based environmental radiation monitoring through wireless sensors network. HELIX 8(1), 2753–2756 (2018)

    Article  Google Scholar 

  47. Olson, J.S., Redkar, S.: A survey of wearable sensor networks in health and entertainment. MOJ App. Bio. Biomech. 2(5), 280–287 (2018)

    Google Scholar 

  48. Kumar, A.: Energy efficient clustering algorithm for wireless sensor network. Dissertation, Lovely Professional University (2017)

    Google Scholar 

  49. Silberschatz, A., Gagne, G., Galvin, P.B.: Operating System Concepts. Wiley, Hoboken (2018)

    MATH  Google Scholar 

  50. Arioua, M., et al.: Multi-hop cluster based routing approach for wireless sensor networks. Procedia Comput. Sci. 83, 584–591 (2016)

    Article  Google Scholar 

  51. Ramezan, G., Cyril, L., Zhen, J.W.: A survey of secure routing protocols in multi-hop cellular networks. IEEE Commun. Surv. Tutor. 20(4), 3510–3541 (2018)

    Article  Google Scholar 

  52. Fahmy, H.M.A.: Wireless Sensor Networks. Concepts, Applications, Experimentation and Analysis, vol. 52. Springer, Berlin (2016)

    Google Scholar 

  53. Le-Giang, T., Hyouk-Kyu, C., Woo-Tae, P.: RF power harvesting: a review on designing methodologies and applications. Micro Nano Syst. Lett. 5(1), 14 (2017)

    Article  Google Scholar 

  54. Navaz, A.S.S., Kadhar, G.M.N.: Layer orient time domain density estimation technique based channel assignment in tree structure wireless sensor networks for fast data collection. Int. J. Eng. Technol. 8(3), 1506–1512 (2016)

    Google Scholar 

  55. Wang, J., et al.: On MAC optimization for large-scale wireless sensor network. Wirel. Netw. 22(6), 1877–1889 (2016)

    Article  Google Scholar 

  56. Selmic, R.R., Phoha, V.V., Serwadda, A.: WSN architecture. In: Wireless Sensor Networks, pp. 37–81. Springer, Cham (2016)

    Chapter  Google Scholar 

  57. Selmic, R.R., Phoha, V.V., Serwadda, A.: Wireless Sensor Networks. Springer, Berlin (2016)

    Book  Google Scholar 

  58. Okawa, T., Hiromasa, H.: Rigorous communication success probability of MC-CDMA with MPOMS codes for radio-on-demand WSN. In: IEEE 6th Global Conference on Consumer Electronics (GCCE). IEEE (2017)

    Google Scholar 

  59. De Guglielmo, D., et al.: Accurate and Efficient Modelling of IEEE 802.15. 4 unslotted CSMA/CA through event chains computation, pp. 2954–2968 (2016)

    Google Scholar 

  60. Alvi, A.N., et al.: BEST-MAC: bitmap-assisted efficient and scalable TDMA-based WSN MAC protocol for smart cities. IEEE Access 4, 312–322 (2016)

    Article  Google Scholar 

  61. Abd El-Rahman, A.F., et al.: Companding techniques for SC-FDMA and sensor network applications. Int. J. Electron. Lett., 1–15 (2019)

    Google Scholar 

  62. Rashid, B., Rehmani, M.H.: Applications of wireless sensor networks for urban areas: a survey. J. Netw. Comput. Appl. 60, 192–219 (2016)

    Article  Google Scholar 

  63. Kumar, M.S., et al.: Quality improvement techniques in WSN: a review (2016)

    Google Scholar 

  64. Chiumento, A., Marchetti, N., Macaluso, I.: Energy efficient WSN: a cross-layer graph signal processing solution to information redundancy. arXiv preprint arXiv:1906.10453 (2019)

  65. Al-Turjman, F.: Cognitive-node architecture and a deployment strategy for the future WSNs. Mobile Netw. Appl. 1–19 (2017)

    Google Scholar 

  66. Pandey, S.V., Raju, K.S.: Secure and efficient DiDrip protocol for improving performance of WSNs. Int. J. Adv. Eng. Manag. Sci. 2(5) (2016)

    Google Scholar 

  67. Singh, P., Paprzycki, M., Bhargava, B., Chhabra, J., Kaushal, N., Kumar, Y. (eds.): Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol. 958. Springer, Singapore (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Reinaldo Padilha França .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

França, R.P., Iano, Y., Monteiro, A.C.B., Arthur, R. (2020). Intelligent Applications of WSN in the World: A Technological and Literary Background. In: Singh, P., Bhargava, B., Paprzycki, M., Kaushal, N., Hong, WC. (eds) Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's. Advances in Intelligent Systems and Computing, vol 1132. Springer, Cham. https://doi.org/10.1007/978-3-030-40305-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-40305-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40304-1

  • Online ISBN: 978-3-030-40305-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics