Sensor Network Simulator Prototype With Real-Time Environmental Data Monitoring to Build Smart Application

Abstract

This paper states an innovative proposal of a simulation/emulation tool for wireless sensor networks for getting real environmental data. The sensor network's creation and design use a mathematical model that optimizes the sensor nodes' location through geographic coordinates (latitude, longitude). The software uses a distributed computational architecture based on containers (Docker), a web application developed in React.js with the ANT Design framework. It is managed through micro-services using the Lagom framework. It also uses the FIWARE-Orion component that controls the flow of sensor data, storing them in the Neo4j database and giving the user the option of using them in any external application. The simulator presents a significant contribution in the WSN field because it allows obtaining data in real-time using a meteorological API. Finally, the application's proposed architecture allows all the simulation data and the sensor network design to be used by creating any outdoors intelligent application.

A Quantum Annealing Bat Algorithm for Node Localization in Wireless Sensor Networks

“…Among them, RSSI-based positioning algorithms have received much attention from scholars because of their excellent performance with no additional hardware devices, low cost, low energy consumption, and easy implementation [ 13 ]. Moreover, they have been successfully applied in smart agriculture [ 14 , 15 ], power systems [ 16 ], smart buildings [ 17 ], military fields [ 18 ], and environmental monitoring [ 19 , 20 , 21 , 22 ].…”