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Distributed Binary Quantization of a Noisy Source in Wireless Sensor Networks
2014
Journal of Sensors
In distributed (decentralized) estimation in wireless sensor networks, an unknown parameter must be estimated from some noisy measurements collected at different sensors. Due to limited communication resources, these measurements are typically quantized before being sent to a fusion center, where an estimation of the unknown parameter is calculated. In the most stringent condition, each measurement is converted to a single bit. In this study, we propose a distributed quantization scheme which
doi:10.1155/2014/368643
fatcat:ldiaywrqvbckzfkgnvesj7rwhy