Abstract
It is known that the WSNs are usually severely constrained in energy, and energy-efficient methods are thus important for WSN-based estimation to reduce energy consumption and to prolong network life. Several energy-efficient estimation methods have been available in the literature, such as the quantization method [1–6] and the data-compression method [1, 7–10]. The main idea in quantization and compression is to reduce the size of a data packet and thus to reduce energy consumption in transmitting and receiving packets, and they can be called as the packet size-based energy-efficient estimation methods. Actually, a useful and straightforward approach to saving energy is to slow down the information transmission rate in the sensors, for example, the sensors may measure and transmit measurements with a period that is several times of the sampling period.
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Zhang, WA., Chen, B., Song, H., Yu, L. (2016). Multi-rate Kalman Fusion Estimation for WSNs. In: Distributed Fusion Estimation for Sensor Networks with Communication Constraints. Springer, Singapore. https://doi.org/10.1007/978-981-10-0795-8_2
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DOI: https://doi.org/10.1007/978-981-10-0795-8_2
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