Title :
Tracking Objects in a Smart Home
Author :
Prado da Fonseca, Vinicius ; Rosa, Paulo F. F.
Author_Institution :
Syst. & Comput. Grad. Program, Inst. Mil. de Eng. Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
A RSSI-based localization system on a home wireless sensor network is proposed in this work. In order to support a robot assistant in pick-and-place tasks, our current system is capable of estimating the localization of an object using the signal strength received by a mobile device in a ZigBee sensor network. Two models were utilized (a) log-distance path loss - model in which signal lost has a random influence with log-normal distribution, and (b) free space decay law - based on the decay law for a signal on an open space. RSSI measurements were done in laboratory for applying the estimation method. Moreover experiments with satisfactory results were done with a public dataset to benchmark our results.
Keywords :
Zigbee; estimation theory; home automation; home computing; log normal distribution; mobile computing; mobile radio; wireless sensor networks; RSSI-based localization system; ZigBee sensor network; estimation method; free space decay law; home wireless sensor network; log-distance path loss; log-normal distribution; mobile device; object tracking; pick-and-place task; robot assistant; signal strength; smart home; Estimation; Laboratories; Mobile nodes; Mobile robots; Robot sensing systems; Smart homes; Indoors Location System; RSSI; ZigB;
Conference_Titel :
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location :
Ipojuca
DOI :
10.1109/BRICS-CCI-CBIC.2013.101