Abstract
Localization is an important technique in wireless sensor networks, through which position systems came into existence. This research proposes a method for indoor localization using triangulation of wireless sensor networks (WSNs) to learn the expected location. In WSNs, the settled nodes transmit signals and their received signal strength index (RSSI) values measured between the settled nodes and mobile node, which then converted into the distance providing three distances that is significant for triangulation. The issue with using RSSI is that the estimate distance is not equal to the exact distance between settled nodes and mobile node. The reason behind this is that the RSSI signal has to face the adjacent channel interference, elevated noise floor due to high temperature, huge shadowing loss and due to scattering objects. Thus there may be some parameters which can be included for compensating this kind of error.
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