Perceptual quality‐based image communication service framework for wireless sensor networks

Abstract

Wireless multimedia sensor networks (WMSNs) have an increasing variety of multimedia-based applications including image and video transmission. In these types of applications, multimedia sensor nodes should ideally maximize perceptual quality and minimize energy expenditures in communication. For the required perceptual quality to be obtained, qualityaware routing is a key research area in WMSNs. However, mapping the system parameters to the end user's perceptual quality-of-service measures is a challenging task because of incomplete identification metrics. Unfortunately, unless disputable assumptions and simplifications are made, optimal routing algorithm is not tractable. In this paper, we propose a novel image transmission framework to optimize both perceptual quality and energy expenditure in WMSNs. Our framework aims to provide acceptable perceptual quality at the end user by using an analytical distortion prediction model that is able to predict the image distortion resulting from any given error pattern. The innovation of the proposed scheme lies in the combined use of a content-aware packet prioritization with an energy-aware and quality-aware routing protocol, named as image quality-aware routing. Additionally, it does not only propose an energy-efficient route selection policy but also manages the network load according to the energy residues of nodes, thus leading to a great energy economy. The results reveal that the framework is capable of identifying true metrics for mapping required image quality to network parameters.

Robust Evolutionary-Game-Based Routing for Wireless Multimedia Sensor Networks

“…An image transmission framework for the optimization of the perceptual quality and energy expenditure in WMSNs was proposed in [23]. The goal of the proposed scheme was to ensure the perceptual quality at the end user using an analytical distortion model.…”

“…The model could predict the image distortion resulting from any error pattern. The outstanding part in [23] is the use of a content-aware packet prioritization along with an energy and delay aware routing protocol.…”

Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications

“…Background subtraction is a crucial task for many vital applications where the aim is to identify moving objects in the multimedia data for applications such as surveillance [21]. Determining moving objects from a video sequence is an essential and important task in many computer-vision applications [26]. The purpose of background subtraction is to separate the static part of the scene from the dynamic one in the raw video frames.…”