An IoT Framework for Real-Time Event Detection and Acquisition Using Mobile Sink

  • Authors

    • Samaleswari Prasad Nayak
    • Satyananda Champati Rai
    • Sateesh Kumar Pradhan
    2018-09-01
    https://doi.org/10.14419/ijet.v7i3.34.19361
  • Mobile Sink, Monitoring, Quadcopter, Tracking, WSN

  • Abstract

    Immediate service provisioning with real-time attention to a critical patient at remote locations is a challenging task for health care unit personnel. Several incidents remain unattended for long duration due to tracking difficulties to the exact place of event. During accidents, natural calamities, any kind of disaster, providing the basic services to the affected people is a great challenge to the persons present nearby the location. This requires a real-time event status report collection, monitoring condition, arrange and provision system in place. Similarly during critical situation of a patient in hospital if the user requires blood platelet and plasma from a different centre to current place, which may not possible due to heavy traffic in the locality. In this regard we propose a quadcopter based mobile sink to navigate to the place, track, monitor and inform to the remote server which can also be treated as an intra-city delivery model. A gamepad is used to control the quadcopter from the nearby place, its movement mechanism is controlled by the integration of different sensors and other components. Several applications have been used in our model to control the position of quadcopter, capture images through sensors and forward the information to the destination to achieve the objective of real time data acquisition and assistance at the unreachable place of the event, with minimal delay.

     

  • References

    1. [1] Achtelik, Markus, et al. "Visual tracking and control of a quadcopter using a stereo camera system and inertial sensors." Mechatronics and automation, 2009. icma 2009. international conference on. IEEE, 2009.

      [2] Bachrach, Abraham, et al. "RANGE–Robust autonomous navigation in GPSâ€denied environments." Journal of Field Robotics 28.5 (2011): 644-666.

      [3] Moranduzzo, Thomas, and Farid Melgani. "Automatic car counting method for unmanned aerial vehicle images." IEEE Transactions on Geoscience and Remote Sensing 52.3 (2014): 1635-1647.

      [4] Carrillo, LR Garcia, Alejandro Dzul, and Rogelio Lozano. "Hovering quad-rotor control: A comparison of nonlinear controllers using visual feedback." IEEE Transactions on Aerospace and Electronic Systems 48.4 (2012): 3159-3170.

      [5] Zhang, Tianguang, et al. "Multi-sensory motion estimation and control of a mini-quadrotor in an air-ground multi-robot system." Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on. IEEE, 2009.

      [6] Jeong, S. H., Jung, S., & Tomizuka, M. (2012, July). Attitude control of a quad-rotor system using an acceleration-based disturbance observer: An empirical approach. In Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference :916-921

      [7] Kougianos, E., Mohanty, S. P., Coelho, G., Albalawi, U., & Sundaravadivel, P. (2016). Design of a high-performance system for secure image communication in the Internet of Things. IEEE Access, 4, 1222-1242.

      [8] Chen N, Chen Y, You Y, Ling H, Liang P, Zimmermann R. Dynamic urban surveillance video stream processing using fog computing. InMultimedia Big Data (BigMM), 2016 IEEE Second International Conference on 2016 Apr 20 (pp. 105-112). IEEE.

      [9] Kim, Byung Hyung, Minho Kim, and Sungho Jo. "Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking." Computers in biology and medicine 51 (2014): 82-92.

      [10] Zhao, Weihua, and Tiauw Hiong Go. "Quadcopter formation flight control combining MPC and robust feedback linearization." Journal of the Franklin Institute 351.3 (2014): 1335-1355.

      [11] Kumar, Prem, et al. "Measurement of Power Radiation in Base Transceiver Station Using Quad Phone and Quadcopter." Journal of Green Engineering 5.2 (2015): 107-128.

      [12] Rajpoot, Anurag Singh, Namrata Gadani, and Sagar Kalathia. "Development of Arduino Based Quadcopter." International Advanced Research Journal in Science, Engineering and Technology 3.6 (2016).

      [13] Leong, Bernard Tat Meng, Sew Ming Low, and Melanie Po-Leen Ooi. "Low-cost microcontroller-based hover control design of a quadcopter." Procedia Engineering 41 (2012): 458-464.

      [14] Vechian, Mongkhun Qetkeaw. Wireless control quadcopter with stereo camera and self-balancing system. Diss. Universiti Tun Hussein Onn Malaysia, 2012.

      [15] Ji, Ankyd, and Kamran Turkoglu. "Development of a low-cost experimental quadcopter testbed using an arduino controller for video surveillance." AIAA Infotech@ Aerospace (2015).

      [16] Papa, Umberto, and Giuseppe Del Core. "Design and Assembling of a low-cost Mini UAV Quadcopter System." Department of Science and Technology, University of Naples" Parthenope(2014).

      [17] Huston, Dryver R., Dylan Burns, and Mandar M. Dewoolkar. "Integration of Automated and Robotic Systems with BIM for Comprehensive Structural Assessment." Structures Congress 2014. 2014.

      [18] Nayak, S. P., Dhal, K., Rai, S. C., & Pradhan, S. K. (2015, September). TIME: Supporting topology independent mobility with energy efficient routing in WSNs. In Next Generation Computing Technologies (NGCT), 2015 1st International Conference on (pp. 350-355). IEEE.

      [19] Raval, G., & Bhavsar, M. (2015). Improving energy estimation based clustering with energy threshold for wireless sensor networks. International Journal of Computer Applications, 113(19)..

      [20] Hong, Yu-Jin, et al. "Mobile health monitoring system based on activity recognition using accelerometer." Simulation Modelling Practice and Theory 18.4 (2010): 446-455.

      [21] Nayak, S. P., Rai, S. C., & Pradhan, S. K. (2015, December). MERA: A Multi-clustered Energy Efficient Routing Algorithm in WSN. In Information Technology (ICIT), 2015 International Conference on (pp. 37-42). IEEE.

      [22] Doukas, Charalampos, and Ilias Maglogiannis. "Bringing IoT and cloud computing towards pervasive healthcare." In Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on, pp. 922-926. IEEE, 2012.

      [23] Istepanian, R. S., Hu, S., Philip, N. Y., & Sungoor, A. (2011, August). The potential of Internet of m-health Things “m-IoT†for non-invasive glucose level sensing. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE (pp. 5264-5266). IEEE.

      [24] Atzori, Luigi, Antonio Iera, and Giacomo Morabito. "The internet of things: A survey." Computer networks 54, no. 15 (2010): 2787-2805.

      [25] Hassanalieragh, Moeen, Alex Page, Tolga Soyata, Gaurav Sharma, Mehmet Aktas, Gonzalo Mateos, Burak Kantarci, and Silvana Andreescu. "Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges." In Services Computing (SCC), 2015 IEEE International Conference on, pp. 285-292. IEEE, 2015.

  • Downloads

  • How to Cite

    Prasad Nayak, S., Champati Rai, S., & Kumar Pradhan, S. (2018). An IoT Framework for Real-Time Event Detection and Acquisition Using Mobile Sink. International Journal of Engineering & Technology, 7(3.34), 466-473. https://doi.org/10.14419/ijet.v7i3.34.19361

    Received date: 2018-09-09

    Accepted date: 2018-09-09

    Published date: 2018-09-01