Energy Efficient Event Driven Video Streaming Surveillance Using SleepyCAM

Abstract

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%.