A WSN Testbed for Z-Order Encoding based Multi-Modal Data Compression
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.
X. Cao et al., "A WSN Testbed for Z-Order Encoding based Multi-Modal Data Compression," Proceedings of the 14th Annual IEEE International Conference on Sensing, Communication and Networking (2017, San Diego, CA), Institute of Electrical and Electronics Engineers (IEEE), Jun 2017.
The definitive version is available at https://doi.org/10.1109/SAHCN.2017.7964952
14th Annual IEEE International Conference on Sensing, Communication and Networking, SECON 2017 (2017: Jun. 12-14, San Diego, CA)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
Wireless sensor networks; Bandwidth; Multimodal sensors; Encoding; Data compression; Energy consumption
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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14 Jun 2017