Wireless Visual Sensor Network (WVSN) has become a valuable tool in addressing the evolving needs of modern monitoring systems. Encoding in WVSNs is a multifaceted process that involves compressing visual data, optimizing energy consumption, ensuring error resilience, and adapting to various network and application requirements. The associated lightweight encoders and the demand for less storage space make block compressive sensing (BCS) techniques suitable for WVSN applications where energy, bandwidth, and storage resources are limited. This paper presents a comparative study of independent, adaptive, and joint BCS-based encoding schemes for monoview and multiview WVSN data gathering scenarios. A BCS-based joint encoding scheme for multiview configuration that ensures relatively high compression level is also proposed in this paper.
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Priya et al. (2024) studied this question.
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