![]() In order to use the RSSI values as input for distance or location detection algorithms, the RSSI values can’t be used without intermediate processing steps to mitigate with the non-linearity of the measured values. Experiments have been conducted to measure the current consumed by the node depending on the adjusted transmission power. Energy aware data transmission algorithms adjust the power consumed by the nodes according to the relative distance between the nodes. In this paper, experiments in different operating environments have been conducted to show the variation of Received Signal Strength Indicator (RSSI) metric related to distance and geometrical orientation of the nodes and environment, both indoor and outdoor. A system for Received Signal Strength Indicator (RSSI) acquisition has been designed, implemented, and tested. The level of signal strength is often such a starting point. The node localization and distance estimation algorithms have, as their starting points, different information provided by the nodes. Given the distributed nature of WSN, a constantly increasing number of research studies are concentrated on some important aspects: maximizing network autonomy, node localization, and data access security. Wireless Sensor Networks (WSN) are widely used in different monitoring systems.
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