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Integration of WSN with IoT Applications: A Vision, Architecture, and Future Challenges

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Integration of WSN and IoT for Smart Cities

Abstract

The Internet of Things (IoT) represents the physical world of devices and objects connected over the network using wireless sensors. This chapter gives detailed study about the different applications of IoT with the integration of WSN (wireless sensor networks) with Internet connectivity. This allows applications to communicate among themselves and users on a global scale. A large number of IoT applications, like smart home, buildings, transport, water management, healthcare, agriculture, environment and industries, together form the smart city. Along with this, various challenges in the implementation of applications are discussed related to the reliability, sustainability, and efficiency. An open architecture looking into current need of IoT is also proposed and discussed.

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References

  1. Seth, P., Sarangi, S.R.: Internet of things: architectures, protocols, and applications. J. Electr. Comput. Eng. 2017, (2017)

    Google Scholar 

  2. Jin, J., Gubbi, J., Marusic, S., Palaniswami, M.: An information framework for creating a smart city through internet of things. IEEE Internet Things J. 1(2), 112–121 (2014)

    Article  Google Scholar 

  3. Giri, A., Dutta, S., Neogy, S., Dahal, K., Pervez, Z.: Internet of things (IoT): a survey on architecture, enabling technologies, applications and challenges. In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, p. 7. ACM (2017)

    Google Scholar 

  4. Talari, S., Shafie-Khah, M., Siano, P., Loia, V., Tommasetti, A., Catalão, J.: A review of smart cities based on the internet of things concept. Energies. 10(4), 421 (2017)

    Article  Google Scholar 

  5. Bawany, N.Z., Shamsi, J.A.: Smart city architecture: vision and challenges. Int. J. Adv. Comput. Sci. Appl. 6(11), 246–255 (2015)

    Google Scholar 

  6. Al-Qaseemi, S.A., Almulhim, H.A., Almulhim, M.F., Chaudhry, S.R.: IoT architecture challenges and issues: lack of standardization. In: Future Technologies Conference (FTC), pp. 731–738. IEEE (2016)

    Google Scholar 

  7. Li, Y., Björck, F., Xue, H.: Iot architecture enabling dynamic security policies. In: Proceedings of the 4th International Conference on Information and Network Security, pp. 50–54. ACM (2016)

    Google Scholar 

  8. Hashem, I.A.T., Chang, V., Anuar, N.B., Adewole, K., Yaqoob, I., Gani, A., et al.: The role of big data in smart city. Int. J. Inf. Manag. 36(5), 748–758 (2016)

    Article  Google Scholar 

  9. Aazam, M., Zeadally, S., Harras, K.A.: Offloading in fog computing for IoT: review, enabling technologies, and research opportunities. Futur. Gener. Comput. Syst. 87, 278–289 (2018)

    Article  Google Scholar 

  10. How To Build a Holistic Smart City Architecture.: Retrieved from https://www.iotforall.com/holistic-smart-city-architecture/ (2019)

  11. Catarinucci, L., De Donno, D., Mainetti, L., Palano, L., Patrono, L., Stefanizzi, M.L., Tarricone, L.: An IoT-aware architecture for smart healthcare systems. IEEE Internet Things J. 2(6), 515–526 (2015)

    Article  Google Scholar 

  12. Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., Mankodiya, K.: Towards fog-driven IoT eHealth: promises and challenges of IoT in medicine and healthcare. Futur. Gener. Comput. Syst. 78, 659–676 (2018)

    Article  Google Scholar 

  13. Sodhro, A.H., Luo, Z., Sangaiah, A.K., Baik, S.W.: Mobile edge computing based QoS optimization in medical healthcare applications. Int. J. Inf. Manag. 45, 308–318 (2019)

    Article  Google Scholar 

  14. Sohn, S.Y., Bae, M., Lee, D.K.R., Kim, H.: Alarm system for elder patients medication with IoT-enabled pill bottle. In: 2015 International Conference on Information and Communication Technology Convergence (ICTC), pp. 59–61. IEEE (2015)

    Google Scholar 

  15. Laranjo, I., Macedo, J., Santos, A.: Internet of things for medication control: service implementation and testing. Procedia Technol. 5, 777–786 (2012)

    Article  Google Scholar 

  16. Kalantarian, H., Motamed, B., Alshurafa, N., Sarrafzadeh, M.: A wearable sensor system for medication adherence prediction. Artif. Intell. Med. 69, 43–52 (2016)

    Article  Google Scholar 

  17. Marques, G., Pitarma, R.: An indoor monitoring system for ambient assisted living based on internet of things architecture. Int. J. Environ. Res. Public Health. 13(11), 1152 (2016)

    Article  Google Scholar 

  18. Rghioui, A., Sendra, S., Lloret, J., Oumnad, A.: Internet of things for measuring human activities in ambient assisted living and e-health. Netw. Protoc. Algorithms. 8(3), 15–28 (2016)

    Article  Google Scholar 

  19. P. Raj and A. C. Raman, The Internet of Things: Enabling Technologies, Platforms, and Use Cases. Boca Raton, FL, USA: CRC Press (2017)

    Google Scholar 

  20. Lee, I., Lee, K.: The Internet of Things (IoT): applications, investments, and challenges for enterprises. Bus. Horiz. 58(4), 431–440 (2015)

    Article  Google Scholar 

  21. J. Höller, V. Tsiatsis, C. Mulligan, S. Karnouskos, S. Avesand, and D. Boyle, From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence. Amsterdam, The Netherlands: Elsevier (2014)

    Chapter  Google Scholar 

  22. Tzounis, A., Katsoulas, N., Bartzanas, T., Kittas, C.: Internet of Things in agriculture, recent advances and future challenges. Biosyst. Eng. 164, 31–48 (2017)

    Article  Google Scholar 

  23. Patel, K.K., Patel, S.M.: Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and. Computing. 6(5), (2016)

    Google Scholar 

  24. Solutions for Smart Farming (Agriculture IoT).: Retrieved from https://www.kaaproject.org/smart-farming (2019)

  25. Powerful software for running a modern farm.: Retrieved from https://farmlogs.com (2019)

  26. The Phytech Platform.: Retrieved from https://www.phytech.com/ (2019)

  27. Semios We Help Growers Worry Less.: Retrieved from https://semios.com/ (2019)

  28. Elijah, O., Rahman, T.A., Orikumhi, I., Leow, C.Y., Hindia, M.N.: An overview of Internet of things (IoT) and data analytics in agriculture: benefits and challenges. IEEE Internet Things J. 5(5), 3758–3773 (2018)

    Article  Google Scholar 

  29. Sundmaeker, H., Guillemin, P., Friess, P., Woelfflé, S.: Vision and challenges for realising the Internet of things. Clust. Eur. Res. Proj. Internet Things Eur. Commiss. 3(3), 34–36 (2010)

    Google Scholar 

  30. Soliman, M., Abiodun, T., Hamouda, T., Zhou, J., Lung, C.H.: Smart home: integrating internet of things with web services and cloud computing. In: 2013 IEEE 5th International Conference on Cloud Computing Technology and Science, vol. 2, pp. 317–320. IEEE (2013, December)

    Google Scholar 

  31. Son, J.-Y., et al.: Resource-aware smart home management system by constructing resource relation graph. IEEE Trans. Consum. Electron. 57, 1112–1119 (2011)

    Article  Google Scholar 

  32. Han, D.-M., Lim, J.-H.: Design and implementation of smart home energy management systems based on zigbee. IEEE Tran. Consum. Electron. 56, 1417–1425 (2010)

    Article  Google Scholar 

  33. Wu, C.-L., Fu, L.-C.: Design and realization of a framework for human–system interaction in smart homes. IEEE Trans. Syst. Man Cybern. 42, 15–31 (2012)

    Article  Google Scholar 

  34. Alam, M.R., et al.: SPEED: an inhabitant activity prediction algorithm for smart homes. IEEE Trans. on Systems, Man and Cybernetics. 42, 985–990 (2012)

    Article  Google Scholar 

  35. Chen, L., Nugent, C.D., Wang, H.: A knowledge-driven approach to activity recognition in smart homes. IEEE Trans. Knowl. Data Eng. 961–974 (2012)

    Article  Google Scholar 

  36. Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014)

    Article  Google Scholar 

  37. Pradeep, S., Kousalya, T., Suresh, K.A., Edwin, J.: Iot and its connectivity challenges in smart home. Int. Res. J. Eng. Technol. 3, 1040–1043 (2016)

    Google Scholar 

  38. Guerrero-Ibáñez, J., Zeadally, S., Contreras-Castillo, J.: Sensor technologies for intelligent transportation systems. Sensors. 18(4), 1212 (2018)

    Article  Google Scholar 

  39. Abdelhamid, S., Hassanein, H.S., Takahara, G.: Vehicle as a mobile sensor. Procedia Comput. Sci. 34, 286–295 (2014)

    Article  Google Scholar 

  40. Darwish, T.S., Bakar, K.A.: Fog based intelligent transportation big data analytics in the internet of vehicles environment: motivations, architecture, challenges, and critical issues. IEEE Access. 6, 15679–15701 (2018)

    Article  Google Scholar 

  41. Ejaz, W., Naeem, M., Shahid, A., Anpalagan, A., Jo, M.: Efficient energy management for the internet of things in smart cities. IEEE Commun. Mag. 55(1), 84–91 (2017)

    Article  Google Scholar 

  42. Al-Ali, A.R., Zualkernan, I.A., Rashid, M., Gupta, R., Alikarar, M.: A smart home energy management system using IoT and big data analytics approach. IEEE Trans. Consum. Electron. 63(4), 426–434 (2017)

    Article  Google Scholar 

  43. Rodriguez-Diaz, E., Vasquez, J.C., Guerrero, J.M.: Intelligent DC homes in future sustainable energy systems: when efficiency and intelligence work together. IEEE Consum. Electron. Magaz. 5(1), 74–80 (2016)

    Article  Google Scholar 

  44. Kim, D.S., Son, S.Y., Lee, J.: Developments of the in-home display systems for residential energy monitoring. IEEE Trans. Consum. Electron. 59(3), 492–498 (2013)

    Article  Google Scholar 

  45. Son, Y.S., Pulkkinen, T., Moon, K.D., Kim, C.: Home energy management system based on power line communication. IEEE Trans. Consum. Electron. 56(3), 1380–1386 (2010)

    Article  Google Scholar 

  46. Kushiro, N., Suzuki, S., Nakata, M., Takahara, H., Inoue, M.: Integrated residential gateway controller for home energy management system. in IEEE Trans. Consum. Electron. 49(3), 629–636 (2003)

    Article  Google Scholar 

  47. Ozger, M., Cetinkaya, O., Akan, O.B.: Energy harvesting cognitive radio networking for iot-enabled smart grid. Mob. Netw. Appl. 23(4), 956–966 (2018)

    Article  Google Scholar 

  48. Bekara, C.: Security issues and challenges for the IoT-based smart grid. Procedia Comput. Sci. 34, 532–537 (2014)

    Article  Google Scholar 

  49. Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Hashem, I.A.T., Siddiqa, A., Yaqoob, I.: Big IoT data analytics: architecture, opportunities, and open research challenges. IEEE Access. 5, 5247–5261 (2017)

    Article  Google Scholar 

  50. Robles, T., Alcarria, R., de Andrés, D.M., de la Cruz, M.N., Calero, R., Iglesias, S., López, M.: An IoT based reference architecture for smart water management processes. JoWUA. 6(1), 4–23 (2015)

    Google Scholar 

  51. Kamienski, C., Soininen, J.P., Taumberger, M., Fernandes, S., Toscano, A., Cinotti, T.S., et al.: SWAMP: an IoT-based smart water management platform for precision irrigation in agriculture. In: 2018 Global Internet of Things Summit (GIoTS), pp. 1–6. IEEE (2018)

    Google Scholar 

  52. Ntuli, N., Abu-Mahfouz, A.: A simple security architecture for smart water management system. Procedia Comput. Sci. 83, 1164–1169 (2016)

    Article  Google Scholar 

  53. Nikhil, R., Rajender, R., Dushyantha, G.R., Jagadevi, N.: Smart water quality monitoring system using IoT environment. Int. J. Innov. Eng. Technol. 10(4), (2018). Jing, M.: The design of wireless remote monitoring system of water supply based on GPRS. In: Computer Science and Society (ISCCS), 2011 International Symposium on, Kota Kinabalu, pp. 29–31 (2011)

    Google Scholar 

  54. Purohit, A., Gokhale, U.: Real time water quality measurement system based on GSM. IOSR J. Electron. Commun. Eng. 9(3), 63–67 (2014)

    Article  Google Scholar 

  55. Beri, N.N.: Wireless sensor network based system design for chemical parameter monitoring in water. Int. J Electron. Commun. Soft Comput. Sci. Eng. 3(6),

    Google Scholar 

  56. Wadekar, S., Vakare, V., Prajapati, R., Yadav, S., Yadav, V.: Smart water management using IOT. In: 2016 5th International Conference on Wireless Networks and Embedded Systems (WECON), pp. 1–4. IEEE (2016)

    Google Scholar 

  57. Koo, D., Piratla, K., Matthews, C.J.: Towards sustainable water supply: schematic development of big data collection using internet of things (IoT). Procedia Eng. 118, 489–497 (2015)

    Article  Google Scholar 

  58. Kelly, S.D.T., Suryadevara, N.K., Mukhopadhyay, S.C.: Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sensors J. 13(10), 3846–3853 (2013)

    Article  Google Scholar 

  59. Ahmed, E., Yaqoob, I., Gani, A., Imran, M., Guizani, M.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)

    Article  Google Scholar 

  60. Navghane, S.S., Killedar, M.S., Rohokale, V.M.: IoT based smart garbage and waste collection bin. Int. J. Adv. Res. Electron. Commun. Eng. 5(5), 1576–1578 (2016)

    Google Scholar 

  61. Fioccola, G.B., Sommese, R., Tufano, I., Canonico, R., Ventre, G.: Polluino: an efficient cloud-based management of IoT devices for air quality monitoring. In: 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow (RTSI), pp. 1–6. IEEE (2016)

    Google Scholar 

  62. Garcia-de-Prado, A., Ortiz, G., Boubeta-Puig, J., Corral-Plaza, D.: Air4People: a smart air quality monitoring and context-aware notification system. J. Univ. Comput. Sci. 24(7), 846–863 (2018)

    Google Scholar 

  63. Eltom, R.H., Hamood, E.A., Mohammed, A.A., Osman, A.A.: Early warning firefighting system using internet of things. In: 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pp. 1–7. IEEE (2018)

    Google Scholar 

  64. Aggarwal, S., Mishra, P.K., Sumakar, K.V.S., Chaturvedi, P.: Landslide monitoring system implementing IOT using video camera. In: 2018 3rd International Conference for Convergence in Technology (I2CT), pp. 1–4. IEEE (2018)

    Google Scholar 

  65. McKean, J., Roering, J.: Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry. Geomorphology. 57(3–4), 331–351 (2004)

    Article  Google Scholar 

  66. Rosin P.L., Hervas J.: Image Thresholding for Landslide Detection by Genetic Programming (unpublished)

    Google Scholar 

  67. Gong, C., Lei, G., Tianyun, Z., Junwei, H.: Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA. Int. J. Remote Sens. 34(1), 45–59 (2013)

    Article  Google Scholar 

  68. El Moulat, M., Debauche, O., Mahmoudi, S., Brahim, L.A., Manneback, P., Lebeau, F.: Monitoring system using internet of things for potential landslides. Procedia Comput. Sci. 134, 26–34 (2018)

    Article  Google Scholar 

  69. Pirmagomedov, R., Blinnikov, M., Amelyanovich, A., Glushakov, R., Loskutov, S., Koucheryavy, A., et al.: IoT based earthquake prediction technology. In: Internet of Things, Smart Spaces, and Next Generation Networks and Systems, pp. 535–546. Springer, Cham (2018)

    Chapter  Google Scholar 

  70. Alphonsa, A., Ravi, G.: Earthquake early warning system by IOT using Wireless sensor networks. In: 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 1201–1205. IEEE (2016)

    Google Scholar 

  71. Wu, T., Wu, F., Redouté, J.M., Yuce, M.R.: An autonomous wireless body area network implementation towards IoT connected healthcare applications. IEEE Access. 5, 11413–11422 (2017)

    Article  Google Scholar 

  72. Mankodiya, K., Hassan, Y.A., Vogt, S., Gehring, H., Hofmann, U.G.: Wearable ECG module for long-term recordings using a smartphone processor. In: Proceedings of the 5th International Workshop on Ubiquitous Health and Wellness, vol. 2629. Copenhagen, Denmark (2010)

    Google Scholar 

  73. Suma, N., Samson, S.R., Saranya, S., Shanmugapriya, G., Subhashri, R.: IOT based smart agriculture monitoring system. Int. J. Recent Innov. Trends Comput. Commun. 5(2), 177–181 (2017)

    Google Scholar 

  74. Prathibha, S.R., Hongal, A., Jyothi, M.P.: IOT based monitoring system in smart agriculture. In: 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), pp. 81–84. IEEE (2017)

    Google Scholar 

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Bajaj, K., Sharma, B., Singh, R. (2020). Integration of WSN with IoT Applications: A Vision, Architecture, and Future Challenges. In: Rani, S., Maheswar, R., Kanagachidambaresan, G., Jayarajan, P. (eds) Integration of WSN and IoT for Smart Cities. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-38516-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-38516-3_5

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