Abstract
Wireless Sensor Networks (WSN) are widely used in different monitoring systems. 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. The node localization and distance estimation algorithms have, as their starting points, different information provided by the nodes. The level of signal strength is often such a starting point. A system for Received Signal Strength Indicator (RSSI) acquisition has been designed, implemented, and tested. 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. Energy aware data transmission algorithms adjust the power consumed by the nodes according to the relative distance between the nodes. Experiments have been conducted to measure the current consumed by the node depending on the adjusted transmission power. 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. The results of the measurements confirmed that the RSSI level varies with distance, geometrical orientation of the sensors, and environment characteristics.
Highlights
In order to be able to go through the work, it was considered necessary, from the beginning, to present the synthesis of the notations and abbreviations used
Starting from idea that that the the radiation radiation diagram sensor node node is is not not isotropic, isotropic, the the paper paper shows the results of the factor measurements in several situations of geometric arrangement: shows the results of the Received Signal Strength Indicator (RSSI) factor measurements in several situations of geometric arrangement: inside outside, in in real real environment
Because the experiments were not performed under laboratory conditions and the environmental factors cannot be controlled / modified, the results reflect the situation of the measurements only due to the distance and geometric orientation of the sensor nodes in the real environment
Summary
The purpose of this paper is to highlight how far the results of scientific experiments can differ in wireless sensor networks by the orientation of a node to other nodes
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