A locally adaptive data compression scheme
Communications of the ACM
Design and analysis of dynamic Huffman codes
Journal of the ACM (JACM)
Wireless integrated network sensors
Communications of the ACM
System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
EasiPC: A Packet Compression Mechanism for Embedded WSN
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Long-Term Activity Monitoring with a Wearable Sensor Node
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Data compression algorithms for energy-constrained devices in delay tolerant networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Software-based on-line energy estimation for sensor nodes
Proceedings of the 4th workshop on Embedded networked sensors
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
COOJA/MSPSim: interoperability testing for wireless sensor networks
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Stream-oriented lossless packet compression in wireless sensor networks
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Location tracking in a wireless sensor network by mobile agents and its data fusion strategies
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Data-Aware, resource-aware, lossless compression for sensor networks
EWSN'13 Proceedings of the 10th European conference on Wireless Sensor Networks
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Nodes in wireless sensor networks are generally designed to operate on a limited energy budget, and must consciously use the available charge to allow for long lifetimes. As the radio transceiver is the predominant power consumer on current node platforms, the minimization of its activity periods and efficient use of the radio channel are major targets for optimization. Data compression is a viable option to increase the packet information density, resulting in reduced transmission durations and thus allowing for an optimized channel utilization. The computational and memory demands of many current compression algorithms however hamper their applicability on sensor nodes. In this paper, we present a novel variant of the adaptive Huffman coding algorithm, operating on reduced code table sizes and thus significantly alleviating the resource demands for storing and updating the code table during runtime. An implementation for tmote sky hardware proves its adequacy to the capabilities of sensor nodes, and we present its achievable compression gains and energy requirements in both simulation and real world experiments. Results anticipate that overall energy savings can be achieved when transferring packets of reduced sizes, even when increased CPU utilization is incurred.