A Cross-Layer Power Analysis and Profiling of Wireless Video Sensor Node Platform Applications

• Other Authors: Shah, Tejas (Author)
• Format: Dissertation
• Language: English
• Published: 2014
• Subjects: Multimedia
• Online Access: http://hdl.handle.net/2286/R.I.26901

abstract: Wireless video sensor networks has been examined and evaluated for wide range of applications comprising of video surveillance, video tracking, computer vision, remote live video and control. The reason behind importance of sensor nodes is its ease of implementation, ability to operate in adverse environments, easy to troubleshoot, repair and the high performance level. The biggest challenges with the architectural design of wireless video sensor networks are power consumption, node failure, throughput, durability and scalability. The whole project here is to create a gateway node to integrate between "Internet of things" framework and wireless sensor network. Our Flexi-Wireless Video Sensor Node Platform (WVSNP) is a low cost, low power and compatible with traditional sensor network where the main focus was on maximizing throughput or minimizing node deployment. My task here in this project was to address the challenges of video power consumption for wireless video sensor nodes. While addressing the challenges, I performed analysis of predicting the nodes durability when it is battery operated and to choose appropriate design parameters. I created a small optimized image to boot up Wandboard DUAL/QUAD board, capture videos in small/big chunks from the board. The power analysis was performed for only capturing scenarios, playback of reference videos and, live capturing and realtime playing of videos on WVSNP player. Each sensor node in sensor network are battery operated and runs without human intervention. Thus to predict nodes durability, for dierent video size and format, I have collected power consumption results and based on this I have provided some recommendation of HW/SW architecture. i === Dissertation/Thesis === Masters Thesis Electrical Engineering 2014