Low-Complexity, Distributed Characterization of Interferers in Wireless Networks

Vibhav Kapnadak, Murat Senel and Edward J. Coyle

International Journal of Distributed Sensor Networks, 2011, vol. 7, issue 1, 980953

Abstract: 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 noise-corrupted bits. We propose and justify a low-complexity threshold design technique in which the sensors use nonidentical thresholds to generate their bits. This produces a dithering effect that provides better performance than previous techniques that use different non-identical thresholds or the case in which all the sensor motes use an identical non-optimal threshold. Our proposed technique is also shown (a) to be of low complexity compared to previous non-identical threshold approaches and (b) to provide performance that is very close to that obtained when all sensors use the identical, but unknown, optimal threshold. We derive the Cramér-Rao bound (CRB) and also show that the MLE using our dithered thresholds is asymptotically both efficient and consistent. Simulations are used to verify these theoretical results.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:7:y:2011:i:1:p:980953

DOI: 10.1155/2011/980953

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