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Energy Efficient Image Compression Techniques in WSN

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Intelligent Communication, Control and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 624))

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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Authors and Affiliations

  1. Department of Electronics Engineering, Integral University, Lucknow, India

    Nishat Bano & Monauwer Alam

  2. Department of Computer Science, Integral University, Lucknow, UP, India

    Shish Ahmad

Authors
  1. Nishat Bano
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  2. Monauwer Alam
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  3. Shish Ahmad
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Corresponding author

Correspondence to Nishat Bano .

Editor information

Editors and Affiliations

  1. Institute of Robotics Technology (R&D), University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Rajesh Singh

  2. Department of Electronics & Instrumentation Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Sushabhan Choudhury

  3. Department of Electronics & Instrumentation Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Anita Gehlot

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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5902-5

  • Online ISBN: 978-981-10-5903-2

  • eBook Packages: EngineeringEngineering (R0)

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