Abstract
The paper proposes an innovative method of locating objects for the Internet of Things (IoT). The proposed method allows the position of a fixed measuring sensor (MS) to be estimated using one mobile base station with a known position moving around the MS. The mathematical analysis of the method, and three algorithms - Newton's (NA), gradient descent (GD) and genetic (GA) - for solving the system of non-linear positional equations are presented. Next, the analysis of the position dilution of precision (PDoP) parameter for the proposed method, and the Cramér-Rao lower bound (CRLB), limiting the accuracy of the method, are presented. Finally, the results of complex simulation studies on the efficiency of the proposed method for various selected system parameters of the sensor network and convergence of the algorithms used to solve the system of non-linear equations are described.
Highlights
The Internet of Things (IoT) is a concept according to which uniquely identifiable things or objects can directly or indirectly collect, process and/or exchange data via telecommunication networks
SIMULATION RESULTS The results of numerical calculations and simulation studies for the proposed method are presented on the basis of the adopted sensor network model
The simulation tool was developed in the universal mathematical computational environment, MATLAB
Summary
The Internet of Things (IoT) is a concept according to which uniquely identifiable things or objects can directly or indirectly collect, process and/or exchange data via telecommunication (radio communication) networks. These types of items include, but are not limited to, household, garden and agricultural appliances, lighting and heating units, as well as consumable appliances worn by people or animals [12]. The ability to efficiently collect data starts with the use of sensors. Sensors are devices that respond to inputs from the physical world and take those inputs and display them, transmit them for additional processing, and/or use them in conjunction to make decisions and/or adjust operating conditions. Common IoT sensors that may be employed include: temperature sensors, pressure sensors, motion sensors, level sensors, image sensors, proximity sensors, water quality sensors, chemical sensors, gas sensors, smoke sensors, infrared sensors, acceleration sensors, gyroscopic sensors, humidity sensors, and optical sensors [27]
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