Compression of Video Tracking and Bandwidth Balancing Routing in Wireless Multimedia Sensor Networks

TL;DR

This paper introduces a video compression algorithm and a dynamic bandwidth balancing routing strategy for Wireless Multimedia Sensor Networks, significantly improving data transmission efficiency and reducing delay in video streaming applications.

Contribution

It presents a novel CamShift-based video compression method combined with a bandwidth prediction routing strategy that enhances data throughput and transmission delay in WMSNs.

Findings

Increased data received at sink node

Reduced video transmission delay

Enhanced bandwidth utilization

Abstract

There has been a tremendous growth in multimedia applications over wireless networks. Wireless Multimedia Sensor Networks(WMSNs) have become the premier choice in many research communities and industry. Many state-of-art applications, such as surveillance, traffic monitoring, and remote heath care are essentially video tracking and transmission in WMSNs. The transmission speed is constrained by big size of video data and fixed bandwidth allocation in constant routing path. In this paper, we present a CamShift based algorithm to compress the tracking of videos. Then we propose a bandwidth balancing strategy in which each sensor node is able to dynamically select the node for next hop with the highest potential bandwidth capacity to resume communication. Key to the strategy is that each node merely maintains two parameters that contains its historical bandwidth varying trend and then predicts its near future bandwidth capacity. Then forwarding node selects the next hop with the highest potential bandwidth capacity. Simulations demonstrate that our approach significantly increases the data received by sink node and decreases the delay on video transmission in Wireless Multimedia Sensor Network environment.