SoC as IoT sensor network hub

[1] Z. Arkady, Ch. Perera, and D. Georgakopoulos. “Sensing as a service and big data.”, Proc. of the International Conf. on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012.Search in Google Scholar

[2] F. Sheikh, and X. Li. “Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications.”, Procedia Computer Science 34, 2014, pp. 103-110.10.1016/j.procs.2014.07.059Search in Google Scholar

[3] Singh K.J., Kapoor D.S. Create Your Own Internet of Things: A survey of IoT platforms. IEEE Consum. Electron. Mag. 2017;pp. 6:57–6810.1109/MCE.2016.2640718Search in Google Scholar

[4] N.Q. Mehmood, R. Culmone, L. Mostarda, “Modeling temporal aspects of sensor data for MongoDB NoSQL database”, J. Big Data, 2017, pp. 4:810.1186/s40537-017-0068-5Search in Google Scholar

[5] L. Atzori, A. Iera, G. Morabito, “The Internet of Things: A Survey”, Computer Networks, vol. 54, no. 15, pp. 2787-2805, Oct., 2010. N.Q. Mehmood, R. Culmone, L. Mostarda, “Modeling temporal aspects of sensor data for MongoDB NoSQL database”, J. Big Data, 2017, pp. 4:810.1016/j.comnet.2010.05.010Open DOISearch in Google Scholar

[6] M. Roopaei, P. Rad and K. R. Choo, “Cloud of Things in Smart Agriculture: Intelligent Irrigation Monitoring by Thermal Imaging,” in IEEE Cloud Computing, vol. 4, no. 1, pp. 10-15, Jan.-Feb. 2017.10.1109/MCC.2017.5Search in Google Scholar

[7] K. Lih-Jen and C. Chih-Sheng, “A Smart Phone-Based Pocket Fall Accident Detection, Positioning, and Rescue System,” Biomedical and Health Informatics, IEEE Journal of, vol. 19, pp. 43-60, 201510.1109/JBHI.2014.232859325486656Search in Google Scholar

[8] AP. Pierleoni, A. Belli, L. Palma, M. Pellegrini, L. Pernini, and S. Valenti, “A High Reliability Wearable Device for Elderly Fall Detection,” Sensors Journal, IEEE, vol. 15, pp. 4545-4552, 2015.Search in Google Scholar

[9] L. Yun, K. C. Ho, and M. Popescu, “Efficient Source Separation Algorithms for Acoustic Fall Detection Using a Microsoft Kinect,” Biomedical Engineering, IEEE Transactions on, vol. 61, pp. 740-760, 201410.1109/TBME.2013.228878324235295Search in Google Scholar

[10] Texas Instruments Incorporated, Multi-Standard CC2650 SensorTag Design Guide, Texas Instruments Incorporated, pp. 2, March 2015.Search in Google Scholar

[11] Texas Instruments Incorporated, CC2650 SensorTag Quick Start Guide (Rev. A), Texas Instruments Incorporated, pp. 1, 2016.Search in Google Scholar

[12] AE. E. Stone and M. Skubic, “Fall Detection in Homes of Older Adults Using the Microsoft Kinect,” Biomedical and Health Informatics, IEEE Journal of, vol. 19, pp. 290-301, 2015.10.1109/JBHI.2014.231218024733032Search in Google Scholar

[13] Vamos Daniel, Oniga, Stefan, Alexan Anca. (2018). Personal data acquisition IOT gateway. Carpathian Journal of Electronic and Computer Engineering. 11. 44-47. 10.2478/cjece-2018-0008.Search in Google Scholar

[14] Yuejiao Cheng, Yuejiao & Chenglong Jiang, Chenglong & Shi, Jiong. (2016). A Fall Detection System based on SensorTag and Windows 10 IoT Core. 10.2991/mse-15.2016.4Search in Google Scholar

[15] J. Suto, S. Oniga, C. Lung, I. Orha, Comparison of offline and real-time human activity recognition results using machine learning techniques, Neural Computing and Applications, March 2018. https://doi.org/10.1007/s00521-018-3437-x10.1007/s00521-018-3437-xOpen DOISearch in Google Scholar

• A Survey on Automatic Design Methods for Swarm Robotics Systems
• Environmental Parameters Monitoring System
• Actuator control using TCP IP communication under LabVIEW USB6001 environment
• A survey for Communication security of the embedded system