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A Software-Defined Networking (SDN) Architecture for Smart Trash Can Using IoT

  • T. Vairam
  • S. Sarathambekai
  • D. Vigneshwaran
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

A major challenge in Information and Communication Technology (ICT) is to acquire and transform the obtained data in an efficient way. ICT encompasses most of the day-to-day activities of human life, including environment management, education, health care, water-resource management, electricity resource management, agriculture, traffic management, etc. In the current circumstances, ICT needs to send more and more data efficiently and effectively. Here comes the role of IoT (Internet of Things) and SDN (Software-Defined Networking) in the ICT domain which takes forward the ICT in a better way. SDN is a promising network standard which brings the process of network devices in a programmatic manner. Whereas IoT makes every object in a world to function elegantly by having internet connectivity. Combining these two areas together will lead to more advantages such as efficient network management, dynamic programming of network devices, easy accessibility of device data, etc. in ICT domain. In this paper we have proposed a novel SDN architecture for IoT-based smart trash can. Smart trash can is one of the IoT applications which we developed for managing the garbage collection in a city efficiently. It also finds the efficient path for garbage collection and helps in saving time and fuel. IoT-based smart trash can is implemented using Raspberry Pi board with HC SR04 ultrasonic sensor for measuring trash level. Amazon Web Services (AWS) helps in storage of data and sending notifications to the concerned people who are involved in the process of collecting garbage.

Keywords

Software-defined networking Internet of Things (IoT) Trash bin 

References

  1. 1.
    S.K. Lee, M. Bae, H. Kim, Future of IoT networks: survey. Appl. Sci. 7, 1072 (2017)CrossRefGoogle Scholar
  2. 2.
    K.S. Sahoo, S.K. Mishra, S. Sahoo, B. Sahoo, Software defined network: the next generation internet technology. Int. J. Wirel. Microw. Technol. 2, 13–24 (2017)CrossRefGoogle Scholar
  3. 3.
    S.K. Tayyaba et al., Software-Defined Networks (SDNs) and Internet of Things (IoTs): a qualitative prediction for 2020. Int. J. Adv. Comput. Sci. Appl. 7(11), 385–404 (2016)Google Scholar
  4. 4.
    M.A. Salahuddin, A. Al-Fuqaha, M. Guizani, Software-defined networking for RSU clouds in support of the internet of vehicles. IEEE Internet Things J. 2(2), 144–197 (2015)CrossRefGoogle Scholar
  5. 5.
    Y. Sibylle Schaller, D. Hood, Software defined networking architecture standardization. Comput. Stand. Interfaces 154, 197–202 (2017)CrossRefGoogle Scholar
  6. 6.
    K.A.M. Zeinab, S.A.A. Elmustafa, Internet of things applications, challenges and related future technologies. World Scient. News 67(2), 126–148 (2017)Google Scholar
  7. 7.
    G.K. Shyam, S.S. Manvi, P. Bharti, Smart waste management using Internet-of-Things (IoT), IEEE Digital Library, in Proceedings of International Conference on Computing and Communications Technologies (ICCCT), 2017Google Scholar
  8. 8.
    Z. Samaresh Bera, S. Misra, A.V. Vasilakos, Software-defined Networking for in ternet of things: a survey. IEEE Internet Things J. 4(6), 1 (2017)CrossRefGoogle Scholar
  9. 9.
    A. Thyagaturu, A. Mercian, M.P. McGarry, M. Reisslein, W. Kellerer, Software Defined Optical Networks (SDONs): a comprehensive survey. IEEE Commun. Surv. Tutorials 18(4), 2738–2786 (2016)CrossRefGoogle Scholar
  10. 10.
    N. Sathishkumar, B. Vuayalakshmi, B. Jenifer Prarthana, A. Sankar, IOT based smart garbage alert system using arduino UNO, in IEEE Region 10 Conference (TENCON), 2016Google Scholar
  11. 11.
    K. Harika, Muneerunnisa, V. Rajasekhar, P. Venkateswara Rao, L.J.N. SreeLakshmi, IoT based smart garbage monitoring and alert system using arduino UNO. Int. J. Innov. Res. Comput. Commun. Eng. 6(2) (2018)Google Scholar
  12. 12.
  13. 13.
  14. 14.
  15. 15.
  16. 16.
  17. 17.
    Google Developers. Google Maps Directions API Usage Limits, https://developers.google.com/maps/documentation/directions/usage-limits
  18. 18.
  19. 19.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • T. Vairam
    • 1
  • S. Sarathambekai
    • 1
  • D. Vigneshwaran
    • 1
  1. 1.Department of Information TechnologyPSG College of TechnologyCoimbatoreIndia

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