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An Overlap-State Sequential Architecture for Discrete Wavelet Transforms

For the Internet of Things this invention reduces resource energy consumption and resource utilization in distributed data collecting or data processing networks. The invention includes algorithms that optimize spatial compression of data obtained from numerous sensors in a wireless sensor network while having awareness and control over the energy consumption and radio ranges of individual sensor nodes in the wireless sensor networks. Applications: 1) Measurement of temperature humidity or other climate affecting factors for environmental monitoring or precision agricultural applications. 2) Body sensor network applications in the realm of remote patient monitoring emergency medicine and quantitative personal trackers. 3) Monitoring of physical structures such as bridges buildings or water pipelines for detection of structural defects or flaws in real-time. 4) Detecting presence of target substance such as fire radioactive waste and chemical trails. 5) Traffic control and surveillance


1) Reduction of network resource utilization 2) Minimal coordination amongst sensing nodes 3) 65% reduction in total energy consumption over raw data transmission 4) 25% reduction in energy consumption when compared to other proposed methods

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