?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=An+adaptive+method+for+data+reduction+in+the+Internet+of+Things&rft.creator=Fathy%2C+Y&rft.creator=Barnaghi%2C+P&rft.creator=Tafazolli%2C+R&rft.description=Enormous+amounts+of+dynamic+observation+and+measurement+data+are+collected+from+sensors+in+Wireless+Sensor+Networks+(WSNs)+for+the+Internet+of+Things+(IoT)+applications+such+as+environmental+monitoring.+However%2C+continuous+transmission+of+the+sensed+data+requires+high+energy+consumption.+Data+transmission+between+sensor+nodes+and+cluster+heads+(sink+nodes)+consumes+much+higher+energy+than+data+sensing+in+WSNs.+One+way+of+reducing+such+energy+consumption+is+to+minimise+the+number+of+data+transmissions.+In+this+paper%2C+we+propose+an+Adaptive+Method+for+Data+Reduction+(AM-DR).+Our+method+is+based+on+a+convex+combination+of+two+decoupled+Least-Mean-Square+(LMS)+windowed+filters+with+differing+sizes+for+estimating+the+next+measured+values+both+at+the+source+and+the+sink+node+such+that+sensor+nodes+have+to+transmit+only+their+immediate+sensed+values+that+deviate+significantly+(with+a+pre-defined+threshold)+from+the+predicted+values.+The+conducted+experiments+on+a+real-world+data+show+that+our+approach+has+been+able+to+achieve+up+to+95%25+communication+reduction+while+retaining+a+high+accuracy+(i.e.+predicted+values+have+a+deviation+of+%C2%B10.5+from+real+data+values).&rft.subject=Temperature+sensors%2C+Wireless+sensor+networks%2C+Data+communication%2C+Energy+consumption%2C+Sensor+phenomena+and+characterization%2C+Predictive+models&rft.publisher=IEEE&rft.date=2018-05-07&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++2018+IEEE+4th+World+Forum+on+Internet+of+Things+(WF-IoT).++(pp.+pp.+729-735).++IEEE+(2018)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10058858%2F1%2FWFIoT18_bare_conf.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10058858%2F&rft.rights=open