T. Mekonnen, E. Harjula, A. Heikkinen, T. Koskela and M. Ylianttila, "Energy Efficient Event Driven Video Streaming Surveillance Using SleepyCAM," 2017 IEEE International Conference on Computer and Information Technology (CIT), Helsinki, 2017, pp. 107-113. doi: 10.1109/CIT.2017.10
Energy efficient event driven video streaming surveillance using sleepyCAM
|Author:||Mekonnen, Tenager1; Harjula, Erkki1; Heikkinen, Arto1;|
1Centre for Wireless Communication, University of Oulu, Finland
2Center for Ubiquitous Computing, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 7.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019042513199
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-04-25
Wireless Multimedia Sensor Networks (WMSN) are one of the emerging paradigms of the Internet of Things (IoT) that are used to retrieve content including scalar data, video and audio streams and still images from the physical environment. In contrast to scalar sensor (such as temperature and humidity sensor) nodes, multimedia sensor nodes capture high volumes of data and perform far more complex tasks that can be highly power consuming. In this paper, we present the design of energy efficient high resolution camera sensor node, that is capable of capturing a full HD video at 30fps, using off-the-shelf hardware for an event driven video streaming surveillance application. In order to achieve long battery life, we use an energy efficient motion detection and power management mechanism, called sleepyCAM, which uses a lowpower scalar sensor node to detect motion and wake-up a high resolution camera node when needed. We used Libellium Waspmote platform and raspberry pi (RPi) to implement the functionality of the low-power sensor node and the HD camera node, respectively. We validate our work using a baseline setup on a standby RPi that uses scalar sensor for motion detection. The results demonstrate that with the used hardware platform, the power consumption can be reduced by more than 99%.
|Pages:||107 - 113|
2017 IEEE International Conference on Computer and Information Technology (CIT)
IEEE International Conference on Computer and Information Technology
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
This work is supported by University of of Oulu Graduate School (UniOGS), TEKES and the European Celtic-Plus project CONVINcE and was partially funded by Finland, France, Sweden and Turkey.
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.