IEEE Sensors Journal · 2016 · 32 citations · 37 references
EngineeringImage CompressionInterest ExtractionEdge ComputingCamera NetworkCompressive SensingImage TransmissionWireless Camera NetworksInternet Of ThingsVideo TransmissionImage QualityWireless Multimedia System
Monitoring applications based on wireless camera networks are becoming highly attractive. However, processing and streaming all image data are impractical for camera sensor nodes due to the constraints on limited energy, bandwidth, and computing resources. In this paper, we propose an energy-efficient image compressive transmission scheme, which can provide low-complexity regions of interest extraction, energy-driven image quality control, and robust image communication against packet loss over wireless camera networks. Performance of the proposed scheme is investigated with respect to image quality, execution time, and energy consumption. Moreover, we validate the proposed scheme on realistically deployed camera sensor nodes, and the test results reveal that our approach is reliable and feasible for resource-constrained wireless camera networks.
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