ACM Computing Surveys (CSUR)
Lightweight Temporal Compression of Microclimate Datasets
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Energy-aware lossless data compression
ACM Transactions on Computer Systems (TOCS)
Data compression algorithms for energy-constrained devices in delay tolerant networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Fault-Tolerant Compression Algorithms for Delay-Sensitive Sensor Networks with Unreliable Links
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
K-RLE: A New Data Compression Algorithm for Wireless Sensor Network
SENSORCOMM '09 Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications
Trimming the tree: tailoring adaptive huffman coding to wireless sensor networks
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
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Compressing sensor data benefits sensor network applications because compression saves both transmission energy and storage space. This paper presents a novel lossless compression algorithm for sensor networks that is both data-aware and resource-aware. The DARA algorithm provides high compression ratios and also has a small memory footprint and efficient execution well within the range of sensor nodes. It is demonstrated that data-awareness, that is exploiting the structure of sensor data, is an important contributor to compression performance. The practicality of the DARA algorithm is demonstrated by an application in which sensor nodes use a phone modem to transmit a daily digest of nine sensor data streams in a single SMS message.