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Erschienen in: Wireless Personal Communications 2/2021

27.08.2021

Sustainable Green Fog Computing for Smart Agriculture

verfasst von: Rehan Qureshi, Syed Haris Mehboob, Muhammad Aamir

Erschienen in: Wireless Personal Communications | Ausgabe 2/2021

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Abstract

The evolution of information age coupled with the exponential growth of computing devices paved the way for the concept of seamless connectivity. Since the traditional computing model was inadequate to cope up with the demands of seamless connectivity, cloud computing paradigm emerged as the dominant computing model offering round the clock services to millions of users throughout the globe. Despite its obvious advantages, cloud computing model is a major contributor of global warming due to ever increasing carbon emissions of huge Data Centers that hosts voluminous data. The cloud computing model bears calamitous results for clean environment. The fog computing model is relatively a new trend in computing domain that can successfully augment cloud computing model with more environmentally friendly technology. Fog computing can also play a pivotal role in the growth of smart agriculture due to its small carbon footprint. In this paper we present a green fog based architecture comprising of Single Board Computers acting as low power consuming fog nodes, for processing data from IoT sensors, specifically for agriculture sector. The low energy requirements of the proposed system can be easily met with the inclusion of renewable energy resources, thus creating a more sustainable system. The proposed green fog based architecture shall play a positive role in the creation of green environment not only for smart agriculture sector but also for other application areas as well.

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Literatur
1.
Zurück zum Zitat Cisco. (2019). Cisco visual networking index: Global mobile data traffic forecast update, 2017–2022. Cisco. (2019). Cisco visual networking index: Global mobile data traffic forecast update, 2017–2022.
3.
Zurück zum Zitat Ren, J., Zhang, D., He, S., Zhang, Y., & Li, T. (2019). A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet. ACM Computing Surveys, 52(6), 1–36.CrossRef Ren, J., Zhang, D., He, S., Zhang, Y., & Li, T. (2019). A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet. ACM Computing Surveys, 52(6), 1–36.CrossRef
4.
Zurück zum Zitat Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30–30.CrossRef Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30–30.CrossRef
6.
Zurück zum Zitat Song, Z., Zhang, X., & Eriksson, C. (2015). Data center energy and cost saving evaluation. Energy Procedia, 75, 1255–1260.CrossRef Song, Z., Zhang, X., & Eriksson, C. (2015). Data center energy and cost saving evaluation. Energy Procedia, 75, 1255–1260.CrossRef
7.
Zurück zum Zitat Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the Internet of Things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing (MCC'12). Association for Computing Machinery (pp. 13–15). https://doi.org/10.1145/2342509.2342513 Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the Internet of Things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing (MCC'12). Association for Computing Machinery (pp. 13–15). https://​doi.​org/​10.​1145/​2342509.​2342513
8.
Zurück zum Zitat UN General Assembly, Transforming Our World, the 2030 Agenda for Sustainable Development. Resolution adopted by the UNGA on 25 September 2015 (A/RES/70/1), 2015. UN General Assembly, Transforming Our World, the 2030 Agenda for Sustainable Development. Resolution adopted by the UNGA on 25 September 2015 (A/RES/70/1), 2015.
9.
Zurück zum Zitat Fu, L., Wan, J., Yang, J., Cao, D., & Zhang, G. (2017). Dynamic thermal and IT resource management strategies for data center energy minimization. Journal of Cloud Computing, 6(1), 1–16.CrossRef Fu, L., Wan, J., Yang, J., Cao, D., & Zhang, G. (2017). Dynamic thermal and IT resource management strategies for data center energy minimization. Journal of Cloud Computing, 6(1), 1–16.CrossRef
10.
Zurück zum Zitat Albreem, M. A., Sheikh, A. M., Alsharif, M. H., Jusoh, M., & Yasin, M. N. M. (2021). Green Internet of Things (GIoT): Applications, practices, awareness, and challenges. IEEE Access, 9, 38833–38858.CrossRef Albreem, M. A., Sheikh, A. M., Alsharif, M. H., Jusoh, M., & Yasin, M. N. M. (2021). Green Internet of Things (GIoT): Applications, practices, awareness, and challenges. IEEE Access, 9, 38833–38858.CrossRef
11.
Zurück zum Zitat Baccarelli, E., Naranjo, P. G. V., Scarpiniti, M., Shojafar, M., & Abawajy, J. H. (2017). Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study. IEEE Access, 5, 9882–9910.CrossRef Baccarelli, E., Naranjo, P. G. V., Scarpiniti, M., Shojafar, M., & Abawajy, J. H. (2017). Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study. IEEE Access, 5, 9882–9910.CrossRef
12.
Zurück zum Zitat JomitbAbraham, S. K. C. J., & Krishnan, M. S. (2019). Green fog computing: A review on the basis of latency, energy, and e-waste. International Journal of Advanced Science and Technology, 29(3), 5617–5625. JomitbAbraham, S. K. C. J., & Krishnan, M. S. (2019). Green fog computing: A review on the basis of latency, energy, and e-waste. International Journal of Advanced Science and Technology, 29(3), 5617–5625.
13.
Zurück zum Zitat Singh, S. (2015). Green computing strategies & challenges. In: 2015 International conference on green computing and internet of things (ICGCIoT) (pp. 758–760). Singh, S. (2015). Green computing strategies & challenges. In: 2015 International conference on green computing and internet of things (ICGCIoT) (pp. 758–760).
14.
Zurück zum Zitat Sarkar, S., & Misra, S. (2016). Theoretical modelling of fog computing: A green computing paradigm to support IoT applications. IET Networks, 5(2), 23–29.CrossRef Sarkar, S., & Misra, S. (2016). Theoretical modelling of fog computing: A green computing paradigm to support IoT applications. IET Networks, 5(2), 23–29.CrossRef
15.
Zurück zum Zitat Ni, J., Zhang, K., Lin, X., & Shen, X. (2017). Securing fog computing for internet of things applications: Challenges and solutions. IEEE Communications Surveys & Tutorials, 20, 601–628.CrossRef Ni, J., Zhang, K., Lin, X., & Shen, X. (2017). Securing fog computing for internet of things applications: Challenges and solutions. IEEE Communications Surveys & Tutorials, 20, 601–628.CrossRef
16.
Zurück zum Zitat Jalali, F., Hinton, K., Ayre, R., Alpcan, T., & Tucker, R. S. (2016). Fog computing may help to save energy in cloud computing. IEEE Journal on Selected Areas in Communications, 34, 1728–1739.CrossRef Jalali, F., Hinton, K., Ayre, R., Alpcan, T., & Tucker, R. S. (2016). Fog computing may help to save energy in cloud computing. IEEE Journal on Selected Areas in Communications, 34, 1728–1739.CrossRef
17.
Zurück zum Zitat Chaudhary, S., Bhise, M., Banerjee, A., Goya, A., & Moradiya, C. (2015). Agro advisory system for cotton crop. In IEEE AGRINETS workshop, COMSNETS 2015. Chaudhary, S., Bhise, M., Banerjee, A., Goya, A., & Moradiya, C. (2015). Agro advisory system for cotton crop. In IEEE AGRINETS workshop, COMSNETS 2015.
18.
Zurück zum Zitat Alipio, M. I., Cruz, A. E. M. D., Doria, J. D. A., & Fruto, R. M. S. (2017). A smart hydroponics farming system using exact inference in Bayesian network. In IEEE 6th global conference on consumer electronics (GCCE 2017). Alipio, M. I., Cruz, A. E. M. D., Doria, J. D. A., & Fruto, R. M. S. (2017). A smart hydroponics farming system using exact inference in Bayesian network. In IEEE 6th global conference on consumer electronics (GCCE 2017).
19.
Zurück zum Zitat Yadav, R., & Daniel, A. (2018). Fuzzy based smart farming using wireless sensor network. In 2018 5th IEEE Uttar Pradesh section international conference on electrical, electronics and computer engineering (UPCON). Yadav, R., & Daniel, A. (2018). Fuzzy based smart farming using wireless sensor network. In 2018 5th IEEE Uttar Pradesh section international conference on electrical, electronics and computer engineering (UPCON).
20.
Zurück zum Zitat Adetunji, K. E., & Joseph, M. K. (2018). Development of a cloud-based monitoring system using 4Duino: Applications in agriculture. In 2018 International conference on advances in big data, computing and data communication systems (icABCD). Adetunji, K. E., & Joseph, M. K. (2018). Development of a cloud-based monitoring system using 4Duino: Applications in agriculture. In 2018 International conference on advances in big data, computing and data communication systems (icABCD).
21.
Zurück zum Zitat Bauer, J., & Aschenbruck, N. (2018). Design and implementation of an agricultural monitoring system for smart farming. In 2018 IoT vertical and topical summit on agriculture—Tuscany (IOT Tuscany). Bauer, J., & Aschenbruck, N. (2018). Design and implementation of an agricultural monitoring system for smart farming. In 2018 IoT vertical and topical summit on agriculture—Tuscany (IOT Tuscany).
22.
Zurück zum Zitat Ahmed, N., De, D., & Hussain, M. I. (2018). Internet of things (IoT) for smart precision agriculture and farming in rural areas. IEEE Internet Things Journal, 5(6), 4890–4899.CrossRef Ahmed, N., De, D., & Hussain, M. I. (2018). Internet of things (IoT) for smart precision agriculture and farming in rural areas. IEEE Internet Things Journal, 5(6), 4890–4899.CrossRef
23.
Zurück zum Zitat Lomotey, R. K., & Deters, R. (2014). Management of mobile data in a crop field. In 2014 IEEE international conference on mobile services. Lomotey, R. K., & Deters, R. (2014). Management of mobile data in a crop field. In 2014 IEEE international conference on mobile services.
24.
Zurück zum Zitat Tokekar, P., Hook, J. V., Mulla, D., & Isler, V. (2013) Sensor planning for a symbiotic UAV and UGV system for precision agriculture. In 2013 IEEE/RSJ international conference on intelligent robots and systems. Tokekar, P., Hook, J. V., Mulla, D., & Isler, V. (2013) Sensor planning for a symbiotic UAV and UGV system for precision agriculture. In 2013 IEEE/RSJ international conference on intelligent robots and systems.
25.
Zurück zum Zitat Reka, S. S., Chezian, B. K., & Chandra, S. S. (2018). A novel approach of iot-based smart greenhouse farming system: Proceedings of GBSE 2018. In Green buildings and sustainable engineering (pp. 227–235). Reka, S. S., Chezian, B. K., & Chandra, S. S. (2018). A novel approach of iot-based smart greenhouse farming system: Proceedings of GBSE 2018. In Green buildings and sustainable engineering (pp. 227–235).
26.
Zurück zum Zitat Qureshi, B., & Koubaa, A. (2019). On energy efficiency and performance evaluation of SBC based Clusters: A Hadoop case study. Electronics, 8(2), 182.CrossRef Qureshi, B., & Koubaa, A. (2019). On energy efficiency and performance evaluation of SBC based Clusters: A Hadoop case study. Electronics, 8(2), 182.CrossRef
27.
Zurück zum Zitat Karimiafshar, A., Hashemi, M. R., Heidarpour, M. R., & Toosi, A. N. (2021). A request dispatching method for efficient use of renewable energy in fog computing environments. Future Generation Computer Systems, 114, 631–646.CrossRef Karimiafshar, A., Hashemi, M. R., Heidarpour, M. R., & Toosi, A. N. (2021). A request dispatching method for efficient use of renewable energy in fog computing environments. Future Generation Computer Systems, 114, 631–646.CrossRef
28.
Zurück zum Zitat Grigoriev, S. N., & Martinov, G. M. (2016). An ARM-based Multi-channel CNC Solution for Multi-tasking Turning and Milling Machines. In Procedia CIRP 46. Grigoriev, S. N., & Martinov, G. M. (2016). An ARM-based Multi-channel CNC Solution for Multi-tasking Turning and Milling Machines. In Procedia CIRP 46.
31.
Zurück zum Zitat Santos, J., Wauters, T., Volckaert, B., & Turck, F. D. (2019). Resource provisioning in fog computing: From theory to practice. Sensors, 19, 2238.CrossRef Santos, J., Wauters, T., Volckaert, B., & Turck, F. D. (2019). Resource provisioning in fog computing: From theory to practice. Sensors, 19, 2238.CrossRef
32.
Zurück zum Zitat Anwaar, W., & Shah, M. A. (2015). Energy efficient computing: A comparison of raspberry PI with modern devices. International Journal of Computer and Information Technology, 4(2), 410–413. Anwaar, W., & Shah, M. A. (2015). Energy efficient computing: A comparison of raspberry PI with modern devices. International Journal of Computer and Information Technology, 4(2), 410–413.
33.
Zurück zum Zitat Gope, P., Amin, R., Hafizul Islam, S. K., Kumar, N., & Bhalla, V. K. (2018). Lightweight and privacy-preserving RFID authentication scheme for distributed IoT infrastructure with secure localization services for smart city environment. Future Generation Computer Systems, 83, 629–637.CrossRef Gope, P., Amin, R., Hafizul Islam, S. K., Kumar, N., & Bhalla, V. K. (2018). Lightweight and privacy-preserving RFID authentication scheme for distributed IoT infrastructure with secure localization services for smart city environment. Future Generation Computer Systems, 83, 629–637.CrossRef
34.
Zurück zum Zitat Ferrag, M. A., Maglaras, L., & Derhab, A. (2019). Authentication and authorization for mobile IoT devices using biofeatures: Recent advances and future trends. Security and Communications Networks, 2019, 1–20.CrossRef Ferrag, M. A., Maglaras, L., & Derhab, A. (2019). Authentication and authorization for mobile IoT devices using biofeatures: Recent advances and future trends. Security and Communications Networks, 2019, 1–20.CrossRef
Metadaten
Titel
Sustainable Green Fog Computing for Smart Agriculture
verfasst von
Rehan Qureshi
Syed Haris Mehboob
Muhammad Aamir
Publikationsdatum
27.08.2021
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-09059-x

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