?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F725%2F&rft.title=An+Innovative+Technique+for+Smart+Lighting+in+Buildings+through+Multi-Objective+Particle+Swarm+Optimization&rft.creator=Viani%2C+F.&rft.creator=Polo%2C+A.&rft.creator=Garofalo%2C+P.&rft.creator=Anselmi%2C+N.&rft.creator=Salucci%2C+M.&rft.creator=Giarola%2C+E.&rft.subject=A+WC+Next+Generation+Wireless+Communications&rft.subject=M+EA+Evolutionary+Algorithms&rft.description=The+smart+control+of+lighting+in+modern+buildings+is+a+key+feature+in+order+to+improve+as+much+as+possible+the+comfort+of+the+persons+as+well+as+to+reduce+the+overall+energy+consumption.+Within+this+framework%2C+this+work+presents+an++innovative+technique+for+the+smart+lighting+of+buildings+based+on+the+distributed+sensing+capabilities+of+a+low-cost+wireless+sensor+network+(WSN).+The+acquired+information+by+the+WSN+nodes+is+processed+by+a+central+unit+in+order+to+adaptively+control+the+intensity+of+lights+starting+from+the+real-time+measurement+of+the+brightness+conditions+and+energy+consumption.+A+multi-objective+evolutionary+algorithm+based+on+the+particle+swarm+optimizer+(PSO)+is+exploited+in+order+to+minimize+a+suitable+cost+function+accounting+for+conflicting+user-defined+requirements.+The+effectiveness+of+the+proposed+methodology+is+assessed+through+a+set+of+laboratory-controlled+experiments.&rft.publisher=University+of+Trento&rft.date=2017&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F725%2F1%2FAn_Innovative_Technique_for_Smart_Lighting_in_Buildings_through_Multi%25E2%2580%2590Objective_Particle_Swarm_Optimization.v2.pdf&rft.identifier=++Viani%2C+F.+and+Polo%2C+A.+and+Garofalo%2C+P.+and+Anselmi%2C+N.+and+Salucci%2C+M.+and+Giarola%2C+E.++(2017)+An+Innovative+Technique+for+Smart+Lighting+in+Buildings+through+Multi-Objective+Particle+Swarm+Optimization.++Technical+Report.+University+of+Trento.+++++