Abstract
Wireless sensor networks possess significant limitations in storage, bandwidth, and power. Additionally, real-time sensor networks cannot tolerate high latency. While some good compression algorithms exist specific to sensor networks, in this paper we present an energy-efficient method with high compression ratio that reduces latency, storage and bandwidth usage further in comparison with some other recently proposed algorithms. Our Huffman style compression scheme exploits temporal locality and delta compression to provide better bandwidth utilization in the network, thus reducing latency for real time applications. Our performance evaluations show comparable compression ratios and energy savings with a significant decrease in latency compared to some other existing approaches. © 2011 IEEE.
Recommended Citation
T. Szalapski and S. Madria, "Energy-efficient Real-time Data Compression in Wireless Sensor Networks," Proceedings - IEEE International Conference on Mobile Data Management, vol. 1, pp. 236 - 245, article no. 6068443, Institute of Electrical and Electronics Engineers, Nov 2011.
The definitive version is available at https://doi.org/10.1109/MDM.2011.45
Department(s)
Computer Science
Keywords and Phrases
compression; real-time; wireless sensor network
International Standard Book Number (ISBN)
978-076954436-6
International Standard Serial Number (ISSN)
1551-6245
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
29 Nov 2011
