DOI: 10.5176/2251-2179_ATAI12.19
Authors: Burin Baitoei, Phongchai Nilas
Abstract: Despite the robust and renowned positioning system of GPS (Global Positioning System), locative precision cannot be satisfied in an indoor environment with accompaniment of highcost investment. For indoor wireless sensor network (WSN) methodology, positioning identification is mainly derived from two types of measurements: Angle of Arrival (AOA) and distance measured from the reference points. The widely used distance
estimation models include received signal strength (RSS), time of arrival (TOA) and time difference of arrival (TDOA). This paper presents an experiment to determine the location of targeted object with wireless sensor networks employing received signal strength (RSS) method. While other works in the field provide only self-position, this investigation is able to gather locative information or message with administrator and others in ranges which can communicate and exchange position mutually. Recommended for public utilization, the study can be applied for an exhibition, hospital, security system, etc.
Keywords: Intelligent information systems; Multi-sensor data
fusion; signal processing
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