Nodes in wireless sensor networks have very limited storage capacity, computing ability and battery power. Node failure and communication link disconnection occur frequently, which means weak services of the network layer. Sensing data is inaccurate which often has errors. Focusing on inaccuracy of the observation data and power limitation of sensors, this paper proposes a sampling frequency control algorithm and a data compression algorithm. Based on features of the sensing data, these two algorithms are combines together. First, it adjusts the sampling frequency on sensing data dynamically. When the sampling frequency cannot be controlled, data compression algorithm is adopted to reduce the amount of transmitted data to save energy of sensors. Experiments and analysis show that the proposed sampling control algorithm and the data compression algorithm can decrease sampling times, reduce the amount of transmitted data and save energy of sensors.
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- Data Sampling Control and Compression in Sensor Networks
- Springer Berlin Heidelberg
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