evaluation of impact factors on rss accuracy for localization and tracking applications
The use of RSSI (Received Signal Strength Indicator), obtained automatically with the received messages in most sensor radios, is the popular way for estimating the location of the mobile wireless object. The great variation of RSS (Received Signal Strength), which may result in inaccurate estimations, is compensated by the fact that RSS does not require any additional hardware, as in the case of ultrasound and radar techniques, and may reduce the sensor node power consumption, size and cost. This paper investigates the impact of a series of parameters on RSS by experimenting with Tmote Sky nodes in real outdoor environments. Besides the operating frequency, the transmitterreceiver distance, the variation of transceivers, the antenna orientation, and the environment specifics were found as important factors for creating accurate models, which would serve in tracking and localization applications.
evaluation factor accuracy locality tracking applications use signaling message sensor estimates locatability mobility wireless object variation hardware case power consumption size cost paper tmote sky environments operability distance orientation model tracking and localization receive signal strength (rss) wireless sensor network empirical study