Title

A WSN Testbed for Z-Order Encoding based Multi-Modal Data Compression

Abstract

Wireless sensor networks (WSNs) have significant limitations in available bandwidth and energy. The limited bandwidth in sensor networks can cause higher message delivery latency. In this demo, we demonstrate working of novel Z-order based data compression schemes (Z-compression) to reduce energy and save bandwidth without increasing the message delivery latency using a TelosB motes based sensor network testbed. Instead of using the popular Huffman tree style based encoding, Z-compression uses Z-order encoding to map the multidimensional sensing data into one-dimensional binary stream transmitted using a single packet. We have also designed and developed a data concatenating algorithm which can concatenate small packets into large packets, thus increases the throughput of the WSNs.

Meeting Name

14th Annual IEEE International Conference on Sensing, Communication and Networking, SECON 2017 (2017: Jun. 12-14, San Diego, CA)

Department(s)

Computer Science

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Wireless sensor networks; Bandwidth; Multimodal sensors; Encoding; Data compression; Energy consumption

International Standard Book Number (ISBN)

978-1-5090-6599-8

International Standard Serial Number (ISSN)

2155-5494

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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