Energy Aware Data Compression in WSN by Signal Processing

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Izadian, Roshanak | 2012

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Type of Document: M.Sc. Thesis
Language: English
Document No: 42964 (52)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Manzuri Shalmani, Mohammad Taghi
Abstract:
Wireless sensor networks (WSNs) consume energy for their sensing, computation, and communication. To extend the lifetime of the network, sensor nodes are equipped with energy storage devices. Recharging their batteries is impossible in most applications. Therefore, energy consumption needs to be monitored and be limited to extend the high performance operation of the network. In this network, the communication module consumes the highest amount of energy. While several methods are proposed to reduce the energy consumption, data compression is one of the most effective ways for energy management by reducing the number of bits to be broadcast. To determine the energy efficiency of the communication module, the energy consumption of the broadcasting data as text and image in original and compressed forms has been measured. It is shown that JPEG and TIFF for images and Adaptive Huffman algorithm for text, consume less energy for both mesh and random node networks.
Keywords:
Data Compression ; Wireless Sensor Network ; Energy Consumption