Sensor Systems and Software. Second International ICST Conference, S-Cube 2010, Miami, FL, USA, December 13-15, 2010, Revised Selected Papers

Research Article

Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting

Download
373 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-23583-2_1,
        author={Marius Marcu and Cristina Stangaciu and Alexandru Topirceanu and Daniel Volcinschi and Valentin Stangaciu},
        title={Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting},
        proceedings={Sensor Systems and Software. Second International ICST Conference, S-Cube 2010, Miami, FL, USA, December 13-15, 2010, Revised Selected Papers},
        proceedings_a={S-CUBE},
        year={2012},
        month={5},
        keywords={power consumption power characterization power profiles power signatures wireless sensors network},
        doi={10.1007/978-3-642-23583-2_1}
    }
    
  • Marius Marcu
    Cristina Stangaciu
    Alexandru Topirceanu
    Daniel Volcinschi
    Valentin Stangaciu
    Year: 2012
    Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting
    S-CUBE
    Springer
    DOI: 10.1007/978-3-642-23583-2_1
Marius Marcu1,*, Cristina Stangaciu1,*, Alexandru Topirceanu1,*, Daniel Volcinschi1,*, Valentin Stangaciu1,*
  • 1: “Politehnica” University of Timisoara
*Contact email: mmarcu@cs.upt.ro, certejan@dsplabs.cs.upt.ro, alex_i_top@yahoo.com, flipflops_12@yahoo.com.uk, valys@dsplabs.cs.upt.ro

Abstract

The work presented in this paper addresses the problem of energy wastes through irresponsible usage of computers or electrical devices, as well as wastes encouraged by companies or firms that do not implement any kind of power awareness plan. It is meant to help increase the power usage efficiency in the locations it is installed, by completing an extensive survey of power usage patterns over a short period, and then presenting clear expressive power consumption results of the monitored location, together with recommendations of action plans that would save energy if applied. Based on the consumption analysis, studying energetically profiles for different electrical devices, prediction of power consume and savings can be made. We propose a new wireless sensor network solution that can be used to profile power consumption of both electric power connected devices and battery-powered devices running different applications. The proposed solution offers a better and easier way to monitor the energy each of the target devices, and get real time feedback on the effect of different usage patterns applied to target devices.