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WSNs Data and Configuration Management in Sensor Clouds with Cloud File Synchronization Services
Keywords:
Cloud Computing, WSN, Cloud File Synchronization Services, IoT, Sensor Cloud ManagementAbstract
Sensor Clouds have opened new possibilities for researchers of disciplines such as environmental monitoring, precision agriculture and flood prevention. This technology uses Wireless Sensor Networks (WSNs) to collect real world data and Cloud Computing to store and process them. The remote management of WSNs setup and data in Sensor Clouds implies: real time access to collected data, sensor setup reconfiguration and sensor battery status monitoring. Currently there are different platforms for WSNs data and setup management in Sensor Clouds. Generally, these platforms require that scientists of the mentioned disciplines must have knowledge of WSNs and web services programming in order to reconfigure the sensors setup. Hence, these sensing resources can not be provided in a transparent way to end-users. In this paper, we propose the use of standard Cloud File Synchronization Services (CFSS) for carrying out the full management of WSNs in Sensor Clouds. In order to validate our proposal, we conduct experiments using a Sensor Cloud platform based on CFSS called Sensor Cirrus.
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References
[1] J. M. Rabaey, M. J. Ammer, J. L. da Silva, D. Patel, and S. Roundy, “Picoradio supports ad hoc ultra-low power wireless networking,” Computer, vol. 33, pp. 42–48, Jul 2000.
[2] L. Oliveira and J. Rodrigues, “Wireless Sensor Networks: a Survey on Environmental Monitoring,” Journal of Communications, vol. 6, no. 2, pp. 143–151, 2011.
[3] A. Abbasi, N. Islam, Z. A. Shaikh, et al., “A Review of Wireless Sensors and Networks’ Applications in Agriculture,” Computer Standards & Interfaces, vol. 36, no. 2, pp. 263–270, 2014.
[4] H. Alemdar and C. Ersoy, “Wireless sensor networks for healthcare: A survey,” Computer Networks, vol. 54, no. 15, pp. 2688–2710, 2010.
[5] D. Hughes, P. Greenwood, G. Blair, G. Coulson, P. Grace, F. Pappenberger, P. Smith, and K. Beven, “An Experiment with Reflective Middleware to Support Grid-based Flood Monitoring,” Concurrency and Computation: Practice and Experience, vol. 20, no. 11, pp. 1303–1316, 2008.
[6] M. Ghanem, Y. Guo, J. Hassard, M. Osmond, and M. Richards, “Sensor Grids for Air Pollution Monitoring,” in Proceedings of the 3rd UK e-Science All Hands Meeting, (Nottingham, UK), 2004.
[7] S. K. Dash, J. P. Sahoo, S. Mohapatra, and S. P. Pati, “Sensor-cloud: Assimilation of wireless sensor network and the cloud,” Advances in Computer Science and Information Technology. Networks and Communications, pp. 455–464, 2012.
[8] K. Ahmed and M. Gregory, “Integrating Wireless Sensor Networks with Cloud Computing,” in Seventh International Conference on Mobile Ad-hoc and Sensor Networks (2011 MSN), pp. 364–366, IEEE, 2011.
[9] M. Hirafuji, H. Yoichi, T. Kiura, K. Matsumoto, T. Fukatsu, Tanaka, and Others, “Creating High-performance/Low-cost Ambient Sensor Cloud System using OpenFS (Open Field Server) for High-throughput Phenotyping,” in Proceedings of 2011 SICE Annual Conference (2011 SICE), pp. 2090–2092, IEEE, 2011.
[10] M. Hori and T. Kawashima, E.and Yamazaki, “Application of cloud computing to agriculture and prospects in other fields,” Fujitsu Scientific & Technical Journal, vol. 46, no. 4, pp. 446–454, 2010.
[11] Google Drive: Available https://www.google.com/drive.
[12] Dropbox: Available on: https://www.dropbox.com.
[13] K. Lee and D. Hughes, “System Architecture Directions for Tangible Cloud Computing,” in International Workshop on Information Security and Applications (IWISA 2010), vol. 25, (Qinhuangdao, China), Octubre 2010.
[14] K. Lee, D. Murray, D. Hughes, and W. Joosen, “Extending Sensor Networks Into the Cloud Using Amazon Web Services,” in 2010 IEEE International Conference on Networked Embedded Systems for Enterprise Applications (NESEA), pp. 1–7, IEEE, 2010.
[15] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
[16] Xively a Public Cloud for the Internet of Things: Available on: https://www.xively.com.
[17] Z. Sheng, H. Wang, C. Yin, X. Hu, S. Yang, and V. Leung, “Lightweight management of resource-constrained sensor devices in internet of things,” Internet of Things Journal, IEEE, vol. 2, no. 5, pp. 402–411, 2015.
[18] M. Navarro, T. W. Davis, Y. Liang, and X. Liang, “A study of long-term wsn deployment for environmental monitoring.,” in PIMRC, pp. 2093–2097, 2013.
[19] L. Iacono, Gestión Remota de Redes de Sensores Inalámbricas Mediante Tecnologías de
Cloud Computing. Phd thesis, Universidad de Mendoza, October 2015.
[20] Arduino Open Source Hardware: Available on: https://www.arduino.cc/.
[21] XBee ZB Modules Data Sheet: Available on: http://www.digi.com/.
[22] Sensirion SHT15 Data Sheet: Available on: http://www.sensirion.com.
[23] Google Cloud Platform: Available on: https://cloud.google.com/.
[24] L. Iacono, J. L. Vázquez-Poletti, C. García Garino, and I. M. Llorente, “A model to
calculate amazon ec2 instance performance in frost prediction applications,” in High Performance Computing, pp. 68–82, Springer, 2014.
[25] P. Godoy, L. Iacono, R. Cayssials, C. Párraga, and C. García Garino, “Effect of working conditions over the performance in ZigBee WSN,” in Capítulo Sistemas de Control, Anales de la primera reedición del Congreso de la Sección Argentina del IEEE (Argencon 2012).,
[26] G. Humber and E. Ngai, “Quality-ofInformation Aware Data Delivery for Wireless Sensor Networks: Description and Experiments,” in Wireless Communications and Networking Conference (WCNC), 2010 IEEE, pp. 1–6, IEEE,2010.
[27] F. Pierce and T. Elliott, “Regional and onfarm wireless sensor networks for agricultural systems in Eastern Washington,” Computers and electronics in agriculture, vol. 61, no. 1, pp. 32–43, 2008.
[28] E. Nadimi, H. Søgaard, T. Bak, and F. W. Oudshoorn, “Zigbee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass,” Computers and electronics in agriculture, vol. 61, no. 2, pp. 79–87, 2008.
[29] R. Beckwith, D. Teibel, and P. Bowen, “Report from the field: results from an agricultural wireless sensor network,” in Local Computer Networks, 2004. 29th Annual IEEE International Conference on, pp. 471–478, IEEE, 2004.
[30] S. E. Díaz, J. C. Pérez, A. C. Mateos, M.C. Marinescu, and B. B. Guerra, “A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks,” Computers and Electronics in Agriculture, vol. 76, no. 2, pp. 252–265, 2011.
[31] ownCloud: Available on: https://owncloud.org.
[2] L. Oliveira and J. Rodrigues, “Wireless Sensor Networks: a Survey on Environmental Monitoring,” Journal of Communications, vol. 6, no. 2, pp. 143–151, 2011.
[3] A. Abbasi, N. Islam, Z. A. Shaikh, et al., “A Review of Wireless Sensors and Networks’ Applications in Agriculture,” Computer Standards & Interfaces, vol. 36, no. 2, pp. 263–270, 2014.
[4] H. Alemdar and C. Ersoy, “Wireless sensor networks for healthcare: A survey,” Computer Networks, vol. 54, no. 15, pp. 2688–2710, 2010.
[5] D. Hughes, P. Greenwood, G. Blair, G. Coulson, P. Grace, F. Pappenberger, P. Smith, and K. Beven, “An Experiment with Reflective Middleware to Support Grid-based Flood Monitoring,” Concurrency and Computation: Practice and Experience, vol. 20, no. 11, pp. 1303–1316, 2008.
[6] M. Ghanem, Y. Guo, J. Hassard, M. Osmond, and M. Richards, “Sensor Grids for Air Pollution Monitoring,” in Proceedings of the 3rd UK e-Science All Hands Meeting, (Nottingham, UK), 2004.
[7] S. K. Dash, J. P. Sahoo, S. Mohapatra, and S. P. Pati, “Sensor-cloud: Assimilation of wireless sensor network and the cloud,” Advances in Computer Science and Information Technology. Networks and Communications, pp. 455–464, 2012.
[8] K. Ahmed and M. Gregory, “Integrating Wireless Sensor Networks with Cloud Computing,” in Seventh International Conference on Mobile Ad-hoc and Sensor Networks (2011 MSN), pp. 364–366, IEEE, 2011.
[9] M. Hirafuji, H. Yoichi, T. Kiura, K. Matsumoto, T. Fukatsu, Tanaka, and Others, “Creating High-performance/Low-cost Ambient Sensor Cloud System using OpenFS (Open Field Server) for High-throughput Phenotyping,” in Proceedings of 2011 SICE Annual Conference (2011 SICE), pp. 2090–2092, IEEE, 2011.
[10] M. Hori and T. Kawashima, E.and Yamazaki, “Application of cloud computing to agriculture and prospects in other fields,” Fujitsu Scientific & Technical Journal, vol. 46, no. 4, pp. 446–454, 2010.
[11] Google Drive: Available https://www.google.com/drive.
[12] Dropbox: Available on: https://www.dropbox.com.
[13] K. Lee and D. Hughes, “System Architecture Directions for Tangible Cloud Computing,” in International Workshop on Information Security and Applications (IWISA 2010), vol. 25, (Qinhuangdao, China), Octubre 2010.
[14] K. Lee, D. Murray, D. Hughes, and W. Joosen, “Extending Sensor Networks Into the Cloud Using Amazon Web Services,” in 2010 IEEE International Conference on Networked Embedded Systems for Enterprise Applications (NESEA), pp. 1–7, IEEE, 2010.
[15] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
[16] Xively a Public Cloud for the Internet of Things: Available on: https://www.xively.com.
[17] Z. Sheng, H. Wang, C. Yin, X. Hu, S. Yang, and V. Leung, “Lightweight management of resource-constrained sensor devices in internet of things,” Internet of Things Journal, IEEE, vol. 2, no. 5, pp. 402–411, 2015.
[18] M. Navarro, T. W. Davis, Y. Liang, and X. Liang, “A study of long-term wsn deployment for environmental monitoring.,” in PIMRC, pp. 2093–2097, 2013.
[19] L. Iacono, Gestión Remota de Redes de Sensores Inalámbricas Mediante Tecnologías de
Cloud Computing. Phd thesis, Universidad de Mendoza, October 2015.
[20] Arduino Open Source Hardware: Available on: https://www.arduino.cc/.
[21] XBee ZB Modules Data Sheet: Available on: http://www.digi.com/.
[22] Sensirion SHT15 Data Sheet: Available on: http://www.sensirion.com.
[23] Google Cloud Platform: Available on: https://cloud.google.com/.
[24] L. Iacono, J. L. Vázquez-Poletti, C. García Garino, and I. M. Llorente, “A model to
calculate amazon ec2 instance performance in frost prediction applications,” in High Performance Computing, pp. 68–82, Springer, 2014.
[25] P. Godoy, L. Iacono, R. Cayssials, C. Párraga, and C. García Garino, “Effect of working conditions over the performance in ZigBee WSN,” in Capítulo Sistemas de Control, Anales de la primera reedición del Congreso de la Sección Argentina del IEEE (Argencon 2012).,
[26] G. Humber and E. Ngai, “Quality-ofInformation Aware Data Delivery for Wireless Sensor Networks: Description and Experiments,” in Wireless Communications and Networking Conference (WCNC), 2010 IEEE, pp. 1–6, IEEE,2010.
[27] F. Pierce and T. Elliott, “Regional and onfarm wireless sensor networks for agricultural systems in Eastern Washington,” Computers and electronics in agriculture, vol. 61, no. 1, pp. 32–43, 2008.
[28] E. Nadimi, H. Søgaard, T. Bak, and F. W. Oudshoorn, “Zigbee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass,” Computers and electronics in agriculture, vol. 61, no. 2, pp. 79–87, 2008.
[29] R. Beckwith, D. Teibel, and P. Bowen, “Report from the field: results from an agricultural wireless sensor network,” in Local Computer Networks, 2004. 29th Annual IEEE International Conference on, pp. 471–478, IEEE, 2004.
[30] S. E. Díaz, J. C. Pérez, A. C. Mateos, M.C. Marinescu, and B. B. Guerra, “A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks,” Computers and Electronics in Agriculture, vol. 76, no. 2, pp. 252–265, 2011.
[31] ownCloud: Available on: https://owncloud.org.
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Published
2017-04-01
How to Cite
Iacono, L., García Garino, C., Marianetti, O., & Párraga, C. (2017). WSNs Data and Configuration Management in Sensor Clouds with Cloud File Synchronization Services. Journal of Computer Science and Technology, 17(01), p. 1–11. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/456
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