Abstract—The primary goal of VSN deployment is to capture images and send them to power rich sink nodes. As image data is much larger than data sensed by a typical wireless sensor network (WSN), applications of VSN require much bigger amount of data to be transferred to the sink. Due to constraints of WSN such as low energy, limited CPU power and scarce memory, transmission of large amount of data becomes challenging. Furthermore, to take action, some VSN applications require critical image features sooner than the entire image. In this paper, Priority-based Routing Framework for Image Transmission (PRoFIT) is presented along with experimentation on real camera testbed. PRoFIT is designed to deliver critical image features at high priority to the sink node for early processing. PRoFIT does not reduce the total amount of data to be transmitted, however image features critical for some VSN applications are received at sink node much sooner using PRoFIT. Peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) analyses show that PRoFIT improves VSN application response time as compared to priority-less routing.
Index Terms—Multimedia transmission, priority routing, visual sensor network, camera test-bed.
Adil A. Sheikh and Atif Naseer are with the Science and Technology Unit, Umm Al-Qura University, Makkah, Saudi Arabia (email: aasheikh@uqu.edu.sa, anahmed@uqu.edu.sa).
Emad Felemban is with the Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia (email: eafelemban@uqu.edu.sa).
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Cite: Adil A. Sheikh, Atif Naseer, and Emad Felemban, "PRoFIT—Priority-Based Routing Framework for Image Transmission in Visual Sensor Networks," International Journal of Future Computer and Communication vol. 8, no.1, pp. 6-10, 2019.
