Abstract
The increasing curiosity in the wireless sensor network (WSN) research measures physical phenomena, like pressure, temperature, which are transported through low bandwidth and low complexity data streams. The introduction of inexpensive CMOS cameras and microphones has promoted wireless multimedia sensor networks (WMSNs). WSN applications such as military, environmental, multimedia surveillance, health care are tailored to provide high energy efficiency. Energy efficiency is the most important parameter in WSN due to resource constraints. The aim of image compression is to reduce redundant information present in an image, thus providing energy efficiency. In this paper, we analyze image compression techniques, namely Set Partition in Hierarchical Trees (SPIHT), Set Partitioned Embedded BloCK Coder (SPECK), and JPEG2000 for energy constrained WSNs. We also compute energy consumption for transmitting a 512 × 512 Lena image from source to destination and compressed using SPIHT algorithm.
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Bano, N., Alam, M., Ahmad, S. (2018). Energy Efficient Image Compression Techniques in WSN. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_113
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DOI: https://doi.org/10.1007/978-981-10-5903-2_113
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