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Autonomic IoT Battery Management with Fog Computing

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Green, Pervasive, and Cloud Computing (GPC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11484))

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Abstract

Internet of Things (IoT) is the connection of any object to the internet, to generate useful information about its own state or surrounding environment. IoT allows new products and services to be applied in different areas, such as smart cities, industry, smart homes, environment monitoring, smart cars, heath monitoring and others. Fog computing emerges to meet the Quality of Service requirements, of low latency real time IoT systems, that Cloud Computing cannot guarantee. This paper presents a Fire Alarm fog System, for a Smart Home, with the development of an IoT device hardware. A fog system is also developed with a website, that displays the sensor values, and the estimated battery life of the IoT device. Calculations were done with a variation of sleep-time of the IoT device, the results shows an increase of 2.5 times of battery lifespan.

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References

  1. Aosong: DHT11 product manual (2018). http://akizukidenshi.com/download/ds/aosong/DHT11.pdf

  2. Arduino: Arduino UNO board technical specifications (2018). https://store.arduino.cc/usa/arduino-uno-rev3

  3. ATMEL: ATMEGA 328P microcontroller technical specifications. https://pdf1.alldatasheet.com/datasheet-pdf/view/241077/ATMEL/ATMEGA328P.html

  4. Biason, A., et al.: EC-CENTRIC: an energy-and context-centric perspective on IoT systems and protocol design. IEEE Access 5, 6894–6908 (2017). https://doi.org/10.1109/ACCESS.2017.2692522

    Article  Google Scholar 

  5. Digi: Zigbee XBee antenna specifications. https://www.digi.com/products/embedded-systems/rf-modules/2-4-ghz-modules/xbee-zigbee

  6. Digi: Digi Xbee wi-fi (2018). https://www.digi.com/products/xbee-rf-solutions/2-4-ghz-modules/xbee-wi-fi#specifications

  7. Friedli, M., Kaufmann, L., Paganini, F., Kyburz, R.: Energy efficiency of the Internet of Things (2016). https://www.iea-4e.org/document/384/energy-efficiency-of-the-internet-of-things-technology-and-energy-assessment-report

  8. Ghazal, B., Kherfan, M., Chahine, K., Khatib, K.: Multi control chandelier operations using Xbee for home automation. In: Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), pp. 107–111. IEEE (2015). https://doi.org/10.1109/TAEECE.2015.7113609

  9. Gupta, H., Dastjerdi, A.V., Ghosh, S.K., Buyya, R.: iFogSim: a toolkit for modeling and simulation of resource management techniques in internet of things, edge and fog computing environments. CoRR (2016). http://arxiv.org/abs/1606.02007

  10. Hanwei, E.: MQ-9 semiconductor sensor for co/combustible gas (2018). https://img.filipeflop.com/files/download/Sensor_de_gas_MQ-9.pdf

  11. Iorga, M., Feldman, L., Barton, R., Martin, M.J., Goren, N., Mahmoudi, C.: Fog computing conceptual model (2018). https://doi.org/10.6028/NIST.SP.500-325

  12. Jalali, F., Khodadustan, S., Gray, C., Hinton, K., Suits, F.: Greening IoT with fog: a survey. In: 1st IEEE International Conference on Edge Computing, pp. 25–31. IEEE, Honolulu (2017). https://doi.org/10.1109/IEEE.EDGE.2017.13

  13. Mahmud, R., Kotagiri, R., Buyya, R.: Fog computing: a taxonomy, survey and future directions. In: Di Martino, B., Li, K.-C., Yang, L.T., Esposito, A. (eds.) Internet of Everything. IT, pp. 103–130. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-5861-5_5

    Chapter  Google Scholar 

  14. OSOYOO: Bluetooth 4.0 BLE module datasheet (2016). http://osoyoo.com/wp-content/uploads/2016/10/OSOYOO-HM-10-Bluetooth-Module.pdf

  15. Perera, C., Qin, Y., Estrella, J., Reiff-Marganiec, S., Vasilakos, A.: Fog computing for sustainable smart cities: a survey. ACM Comput. Surv. (CSUR) 50(3), 32 (2017). https://arxiv.org/pdf/1703.07079.pdf

    Google Scholar 

  16. Ray, P.P.: A survey on Internet of Things architectures. J. King Saud Univ. Comput. Inf. Sci. 30(3), 291–319 (2018)

    Google Scholar 

  17. Sampaio, H., Motoyama, S.: Implementation of a greenhouse monitoring system using hierarchical wireless sensor network. In: 9th Latin-American Conference on Communications (LATINCOM), pp. 1–6. IEEE (2017). https://doi.org/10.1109/LATINCOM.2017.8240156

  18. Sampaio, H., Motoyama, S.: Sensor nodes estimation for a greenhouse monitoring system using hierarchical wireless network. In: 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 1–5. IEEE (2017). https://doi.org/10.23919/SOFTCOM.2017.8115582

  19. Fire Detection, Santa Catarina State: IN 012/DAT/CBMSC-sistema de alarme e deteccao de incendio (2014). http://www.cbm.sc.gov.br/dat/images/arquivo_pdf/IN/IN_29_06_2014/IN_12.pdf

  20. Sharma, S.K., Wang, X.: Live data analytics with collaborative edge and cloud processing in wireless IoT networks. IEEE Access 5, 4621–4635 (2017). https://doi.org/10.1109/ACCESS.2017.2682640

    Article  Google Scholar 

  21. Stojkoska, B., Trivodaliev, K.: A review of Internet of Things for smart home: challenges and solutions. J. Cleaner Prod. 140, 1454–1464 (2017). https://doi.org/10.1016/j.jclepro.2016.10.006

    Article  Google Scholar 

  22. Zimmermann, A.: Arquitetura para ganho de eficiencia energetica em redes de sensores sem fios de proxima geração (2008). https://repositorio.ufsc.br/handle/123456789/91383

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Acknowledgements

This work was partially supported by the Research and Innovation Support Foundation of the State of Santa Catarina (FAPESC) under grant 23038.013359/2017-71.

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Correspondence to Hugo Vaz Sampaio .

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Sampaio, H.V., de Jesus, A.L.C., do Nascimento Boing, R., Westphall, C.B. (2019). Autonomic IoT Battery Management with Fog Computing. In: Miani, R., Camargos, L., Zarpelão, B., Rosas, E., Pasquini, R. (eds) Green, Pervasive, and Cloud Computing. GPC 2019. Lecture Notes in Computer Science(), vol 11484. Springer, Cham. https://doi.org/10.1007/978-3-030-19223-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-19223-5_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19222-8

  • Online ISBN: 978-3-030-19223-5

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