{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T04:46:00Z","timestamp":1649133960616},"reference-count":31,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2011,1,1]]},"abstract":"<jats:p> 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 Cram\u00e9r-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. <\/jats:p>","DOI":"10.1155\/2011\/980953","type":"journal-article","created":{"date-parts":[[2011,10,5]],"date-time":"2011-10-05T00:38:22Z","timestamp":1317775102000},"page":"980953","update-policy":"http:\/\/dx.doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Low-Complexity, Distributed Characterization of Interferers in Wireless Networks"],"prefix":"10.1177","volume":"7","author":[{"given":"Vibhav","family":"Kapnadak","sequence":"first","affiliation":[{"name":"Network Systems Engineering, AT&T Labs, 2600 Camino Ramon, CA 94583, USA"}]},{"given":"Murat","family":"Senel","sequence":"additional","affiliation":[{"name":"Robert Bosch LLC, Research and Technology Center North America, 4009 Miranda Avenue, Palo Alto, CA 94304, USA"}]},{"given":"Edward J.","family":"Coyle","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Drive NW, Atlanta, GA 30332-0250, USA"}]}],"member":"179","published-online":{"date-parts":[[2011,10,4]]},"reference":[{"key":"B1-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TRIDNT.2006.1649167"},{"key":"B2-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/ICIW.2008.57"},{"key":"B3-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/CHINACOM.2006.344683"},{"key":"B4-2011-980953","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican1005-86"},{"key":"B5-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2007.4298380"},{"key":"B6-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2006.302280"},{"key":"B7-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2002.1011059"},{"key":"B8-2011-980953","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-006-7323-x"},{"key":"B9-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2008.080115"},{"key":"B10-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2005.863009"},{"key":"B11-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.874366"},{"key":"B12-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.882082"},{"key":"B13-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2007.4298410"},{"key":"B14-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.2009893"},{"key":"B15-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.909006"},{"key":"B16-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2008.060687"},{"key":"B17-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2008.919119"},{"key":"B18-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.847692"},{"key":"B19-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896019"},{"key":"B20-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2005.861898"},{"key":"B21-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.855580"},{"key":"B22-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/DYSPAN.2005.1542650"},{"key":"B23-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2007.060662"},{"key":"B24-2011-980953","unstructured":"IEEE802.15.4Ieee standard 802 part 15.4 wireless medium access control (mac) and physical layer (phy) specifications for low rate wireless personal area networks (wpans)2006"},{"key":"B25-2011-980953","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"},{"key":"B26-2011-980953","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2005.860111"},{"key":"B28-2011-980953","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2010.11.001"},{"key":"B29-2011-980953","volume-title":"Fundamentals of Statistical Signal Processing-Estimation Theory","volume":"1","author":"Kay S. 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