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An energy efficient image compression scheme for wireless multimedia sensor network using curve fitting technique

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Abstract

Wireless multimedia sensor network (WMSN) comprising of miniature sensor nodes is capable of processing multimedia data traffic such as still images and video from the environment. There is a wide range of applications which get benefited from such network. Unprocessed multimedia transmission is always expensive in terms of processing power, storage, and bandwidth. So, data processing is a challenge in WMSN. Exploring low-overhead data compression technique is a solution towards this problem. In this work we propose an energy saving image compression technique for WMSN using curve fitting technique considering the application of post-disaster situation analysis through image capturing of the affected area. Upon employing the method on the macroblocks of sensory image, curve fitting coefficients are generated and transmitted towards the sink thereby saves energy by transmitting reduced volume of data. Finally the design feasibility along with simulation results including statistical analysis is presented to evaluate efficacy of the scheme in terms of two conflicting parameters viz. energy consumption and peak signal to noise ratio. The comparative results confirm our scheme’s supremacy in WMSN application domain over existing methods.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Dr. B.C. Roy Engineering College, Durgapur, India

    Rajib Banerjee

  2. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India

    Sipra Das Bit

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  1. Rajib Banerjee
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  2. Sipra Das Bit
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Correspondence to Rajib Banerjee.

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Banerjee, R., Das Bit, S. An energy efficient image compression scheme for wireless multimedia sensor network using curve fitting technique. Wireless Netw 25, 167–183 (2019). https://doi.org/10.1007/s11276-017-1543-9

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  • DOI: https://doi.org/10.1007/s11276-017-1543-9

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