Low Power Computing and Communication System for Critical Environments
The necessity of managing acquisition instruments installed in remote areas (e.g., polar regions), far away from the main buildings of the permanent observatories, provides the perfect test-case for exploiting the use of low power computing and communication systems. Such systems are powered by renewable energy sources and coupled with reconfigurable antennas that allow radio-communication capabilities with low energy requirements. The antenna reconfiguration is performed via Software Defined Radio (SDR) functionalities by implementing a phase controller for the array antenna in a flexible low power General Purpose Platform (GPP), with a single Front-End (FE). The high software flexibility approach of the system represents a promising technique for the newer communication standards and could be also applied to Wireless Sensor Networks (WSNs). This paper presents the prototype that is devoted to ionospheric analysis and that will be tested in Antarctica, in the Italian base called Mario Zucchelli Station, during summer campaigns. The system, developed to guarantee its functionality in critical environmental conditions, is composed of three main blocks: Communication, Computing and Power supply. Furthermore, the computing and communication system has been designed to take into account the harsh environmental conditions of the deployment site.
KeywordsWireless Sensor Network Maximum Power Point Tracking Software Define Radio Smart Antenna GNSS Receiver
Unable to display preview. Download preview PDF.
- 1.Y.J. Guo and Pei-Yuan Qin. Advances in reconfigurable antennas for wireless communications. In 9th European Conference on Antenna and Propagation, April 2015.Google Scholar
- 2.S. S. Jeng and C. W. Tsung. Performance evaluation of ieee 802.11g with smart antenna system in the presence of bluetooth interference environment. In 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, pages 569–573, April 2007.Google Scholar
- 3.Wenjiang Wang, Sivanand Krishnan, Khoon Seong Lim, Aigang Feng, and Boonpoh Ng. A simple beamforming network for 802.11b/g wlan systems. In Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on, pages 809–812, Nov 2008.Google Scholar
- 4.D. C. Chang and C. N. Hu. Smart antennas for advanced communication systems. Proceedings of the IEEE, 100(7):2233–2249, July 2012.Google Scholar
- 5.M. Uthansakul and P. Uthansakul. Experiments with a low-profile beamforming mimo system for wlan applications. IEEE Antennas and Propagation Magazine, 53(6):56–69, Dec 2011.Google Scholar
- 6.A. Hakkarainen, J. Werner, K. R. Dandekar, and M. Valkama. Widely-linear beamforming and rf impairment suppression in massive antenna arrays. Journal of Communications and Networks, 15(4):383–397, Aug 2013.Google Scholar
- 7.K. T. Jo, Y. C. Ko, and Hong-Chuan Yang. Rf beamforming considering rf characteristics in mimo system. In 2010 International Conference on Information and Communication Technology Convergence (ICTC), pages 403–408, Nov 2010.Google Scholar
- 8.A. S. Prasad, S. Vasudevan, R. Selvalakshmi, K. S. Ram, G. Subhashini, S. Sujitha, and B. S.Narayanan. Analysis of adaptive algorithms for digital beamforming in smart antennas. In Recent Trends in Information Technology (ICRTIT), 2011 International Conference on, pages 64–68, June 2011.Google Scholar
- 9.Prikryl P et al. Gps phase scintillation at high latitudes during geomagnetic storms of 7-17 march 2012 - part 2: Interhemispheric comparison. Annales Geophysicae, 2015.Google Scholar
- 10.Prikryl P. et al. An interhemispheric comparison of gps phase scintillation with auroral emission observed at the south pole and from the dmsp satellite. Annals of Geophysics, 2013.Google Scholar
- 11.Raspberry pi. https://www.raspberrypi.org. Accessed: 2016-09-07.
- 12.Arduino single board computer. https://www.arduino.cc. Accessed: 2016-09-07.
- 13.The parallella board. https://www.parallella.org. Accessed: 2016-09-07.
- 14.D. Richie, J. Ross, S. Park, and D. Shires. Threaded mpi programming model for the epiphany risc array processor. Journal of Computational Science, 9:94 – 100, 2015.Google Scholar
- 15.Hpe moonshot system. https://www.hpe.com/us/en/servers/moonshot.html. Accessed: 2016-09-07.
- 16.Fips project. https://www.fips-project.eu/wordpress/.
- 17.Roberto Giorgi. Scalable embedded systems: Towards the convergence of high-performance and embedded computing. In EUC-2015, 2015.Google Scholar
- 18.E. Palazzetti. Getting Started with UDOO. Packt Publishing, 2015.Google Scholar
- 19.Simon J. Cox, James T. Cox, Richard P. Boardman, Steven J. Johnston, Mark Scott, and Neil S. O’Brien. Iridis-pi: a low-cost, compact demonstration cluster. Cluster Computing, 17(2):349–358, 2014.Google Scholar
- 20.Yiran Zhao, Shen Li, Shaohan Hu, Hongwei Wang, Shuochao Yao, Huajie Shao, and Tarek Abdelzaher. An experimental evaluation of datacenter workloads on low-power embedded micro servers. Proc. VLDB Endow., 9(9):696–707, May 2016.Google Scholar
- 21.Sheikh Ferdoush and Xinrong Li. Wireless sensor network system design using raspberry pi and arduino for environmental monitoring applications. Procedia Computer Science, 34:103– 110, 2014.Google Scholar
- 22.Climantartide web site. http://www.climantartide.it/. Accessed: 2016-09-07.
- 23.M. Orefice G. Dassano. Voltage controlled steerable array for wireless sensors networks. In 2nd European Conference on Antennas and Propagation EuCAP, November 2007.Google Scholar
- 24.Constantine A. Balanis. Antenna Theory - Analysis and Design. Wiley, third edition, 2005.Google Scholar
- 25.O. Terzo L. Spogli L. Alfonsi V. Romano A. Scionti, P. Ruiu. Demogrape: Managing scientific applications in a cloud federated environment. In CISIS-2016, 2016.Google Scholar
- 26.Docker. https://www.docker.com/. Accessed: 2016-09-07.