The week's pick
Random Articles
Reseach Article
Energy Efficient Data Transmission using PID based Data Prediction System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 101 - Number 8 |
| Year of Publication: 2014 |
| Authors: Akshay Joshi, Dhiiraj Nitnawwre |
10.5120/17707-8710
|
Akshay Joshi, Dhiiraj Nitnawwre . Energy Efficient Data Transmission using PID based Data Prediction System. International Journal of Computer Applications. 101, 8 ( September 2014), 19-23. DOI=10.5120/17707-8710
Abstract
In the recent years of medical science, we have to see that the wireless body sensors are used everywhere. These technologies have made our life secure and comfortable. These sensors are widely used because of its weight is very light and size is very small. To design body sensor networks we have to face the main issue of energy efficient data transmission. The continuous data transmission is an important part of the network due to need of continuous attention. To reduce the heavy traffic on the network, prediction-based data transmission approach may be use for transmission. This technique combines a dual prediction flowchart and a low-complexity prediction algorithm that takes advantage of PID (Proportional Integral Derivative) control. The energy gain and RMSE are use as performance parameters.
References
- Mark A. Hanson, Harry C. Powell Jr. , Adam T. Barth, Kyle Ringgenberg, Benton H. Calhoun, James H. Aylor, John Lach, Jan. 2009 "Body Area Sensor Networks: Challenges and Opportunities," IEEE Computer, vol. 42, no. 1, pp. 58-65.
- E. Jovanov, C. Y. Poon, G. Z. Yang, Y. T. Zhang, November 2009 "Guest Editorial Body Sensor Networks: From Theory to Emerging Applications," IEEE Transactions on Information Technology in Biomedicine, Vol. 13, Issue 6, pp. 859- 864.
- Andrew D. Jurik, Alfred C. Weaver, Jan. /Feb. 2009 "Body Sensors: Wireless Access to Physiological Data," IEEE Software, vol. 26, no. 1, pp. 71-73.
- S. Xiao, A. Dhamdhere, V. Sivaraman, and A. Burdett, Jan 2009, "Transmission Power Control in Body Area Sensor Networks for Healthcare Monitoring", IEEE Journal on Selected Areas in Communications, Special Issue on Body Area Networking, 27(1):37-48.
- Y. -Ä. Le Borgne, S. Santini and G. Bontempi, 2007 "Adaptive Model Selection for Time Series Prediction in Wireless Sensor Networks", Signal Processing, 87 (12): 3010–3020.
- A. Jain, E. Y. Chang, Y. -F. Wang,June 13–18, 2004, "Adaptive stream resource management using Kalman filters", in: Proc. ACM International Conference on Management of Data (SIGMOD2004), Paris (France), pp. 11–22.
- D. Tulone, S. Madden, 2006 "PAQ: time series forecasting for approximate query answering in sensor networks", in: Proc. 3rd European Conference on Wireless Sensor Networks (EWSN06), February 21–37.
- D. Chu, A. Deshpande, J. M. Hellerstein, W. Hong, April 3–8, 2006 "Approximate data collection in sensor networks using probabilistic models", in:Proc22ndInternational Conference on Data Engineering (ICDE06), Atlanta, GA.
- Jamil Y. Khan, Mehmet R. Yuce, and Farbood Karami, , 2008 "Performance Evaluation of a Wireless Body Area Sensor Network for Remote Patient Monitoring" , Engineering in Medicine and Biology Society 30th Annual International Conference of the IEEE.
- K. H. Ang, G. C. Y. Chong, and Y. Li, 2005 "PID control system analysis, design, and technology", IEEE Transactions on Control Systems Technology, 13 (4): 559-576.
Index Terms
Keywords