Real-Time Image Transmission Algorithm in WSN with Limited Bandwidth

Abstract

In this paper, a real-time image transmission algorithm in WSN with limited bandwidth networks is studied. Firstly, a simple and effective monitoring network architecture is established, which allows multiple video monitoring nodes to access the network, and the data transmission is controlled by the synchronization mechanism without collision. Then, the image data is compressed locally at the monitoring nodes (over 85%), so that the image of each node can meet the needs of real-time data transmission, and the overall power consumption of the system is greatly reduced. Finally, based on NVIDIA TX1, four test nodes are constructed to test the algorithm cumulatively, which verifies the effectiveness of the system framework and compression algorithm.

Enhancing Real-Time Image Transmission in Wireless Sensor Networks: A Study on Energy-Efficient Compression Algorithms

“…Primarily, wireless sensor nodes typically have a limited energy source, making energy efficiency crucial for extending network lifespan. Moreover, bandwidth constraints of WSNs result in lower data transmission rates [17]. Furthermore, the limited computational ability of sensor nodes cannot support complex image processing and compression algorithms [18][19][20][21][22].…”

Medical Image Segmentation Using a Combination of Lattice Boltzmann Method and Fuzzy Clustering Based on GPU CUDA Parallel Processing

“…Kumar et al proposed a joint LSM and LBM-based approach for histogram thresholding in image segmentation [25]. Kalaiselvi et al presented medical image processing algorithms implemented in CUDA running on GPU-based Machines [26], and Huang and Li use CUDA to accelerate in parallel computation [27].…”