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Low-Complexity, Distributed Characterization of Interferers in Wireless Networks
2011
International Journal of Distributed Sensor Networks
We consider a large-scale wireless network that uses sensors along its edge to estimate the characteristics of interference from neighboring networks or devices. Each sensor makes a noisy measurement of the received signal strength (RSS) from an interferer, compares its measurement to a threshold, and then transmits the resulting bit to a cluster head (CH) over a noisy communication channel. The CH computes the maximum likelihood estimate (MLE) of the distance to the interferer using these
doi:10.1155/2011/980953
fatcat:izacclen7nb2rlmq2e3g2jxaoa