Wireless integrated network sensors
Communications of the ACM
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Lightweight Temporal Compression of Microclimate Datasets
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
Energy concerns in wireless networks
IEEE Wireless Communications
Practical data compression in wireless sensor networks: A survey
Journal of Network and Computer Applications
A new spatial IP assignment method for IP-based wireless sensor networks
Personal and Ubiquitous Computing
Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks
Multimedia Tools and Applications
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We present a sophisticated framework to systematically explore the temporal correlation in environmental monitoring wireless sensor networks. The presented framework optimizes lossless data compression in communications given the resource constraint of sensor nodes. The insights and analyses obtained from the framework can directly lead to innovative and better design of data gathering protocols for wireless sensor networks operated in noisy environments to dramatically reduce the energy consumptions.