Usability of open-source hardware based platform for indoor positioning systems

Dobrilovic, Dalibor; Petrović, Dejan; Malić, Milan

doi:10.5937/jemc1802113d

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…Collected and analyzed data will be available to the system users through web interfaces with live graphs, dashboards, and reports. The collector for the data sent from the wireless nodes is the open-source server (6) based on messaging protocol, probably MQTT (MQ Telemetry Transport) [40]. Finally, data collection should be realized with the DB storage system (7), SQL, or NoSQL, depending on the number of nodes and required data acquisition and writing frequency.…”

Section: Architecture Of Sensor Network For Solar Radiation Data Acqu...mentioning

confidence: 99%

Data Acquisition for Estimating Energy-Efficient Solar-Powered Sensor Node Performance for Usage in Industrial IoT

et al. 2023

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In the era of rapid technological growth, we are facing increased energy consumption. The question of using renewable energy sources is also essential for the sustainability of wireless sensor networks and the Industrial Internet of Things, especially in scenarios where there is a need to deploy an extensive number of sensor nodes and smart devices in industrial environments. Because of that, this paper targets the problem of monitoring the operations of solar-powered wireless sensor nodes applicable for a variety of Industrial IoT environments, considering their required locations in outdoor scenarios and the efficient solar power harvesting effects. This paper proposes a distributed wireless sensor network system architecture based on open-source hardware and open-source software technologies to achieve that. The proposed architecture is designed for acquiring solar radiation data and other ambient parameters (solar panel and ambient temperature, light intensity, etc.). These data are collected primarily to define estimation techniques using nonlinear regression for predicting solar panel voltage outputs that can be used to achieve energy-efficient operations of solar-powered sensor nodes in outdoor Industrial IoT systems. Additionally, data can be used to analyze and monitor the influence of multiple ambient data on the efficiency of solar panels and, thus, powering sensor nodes. The architecture proposal considers the variety of required data and the transmission and storage of harvested data for further processing. The proposed architecture is implemented in the small-scale variants for evaluation and testing. The platform is further evaluated with the prototype sensor node for collecting solar panel voltage generation data with open-source hardware and low-cost components for designing such data acquisition nodes. The sensor node is evaluated in different scenarios with solar and artificial light conditions for the feasibility of the proposed architecture and justification of its usage. As a result of this research, the platform and the method for implementing estimation techniques for sensor nodes in various sensor and IoT networks, which helps to achieve edge intelligence, is established.

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Section: Architecture Of Sensor Network For Solar Radiation Data Acqu...mentioning

confidence: 99%

Data Acquisition for Estimating Energy-Efficient Solar-Powered Sensor Node Performance for Usage in Industrial IoT

et al. 2023

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Analyses of WSN/UAV network configuration influences on 2.4 GHz IEEE 802.15.4 signal strength

Dobrilovic

Ognjenovic

Berkovic

et al. 2021

2021 International Telecommunications Conference (ITC-Egypt)

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Tools for modelling distance estimation based on RSSI

Dobrilovic¹,

Stojanov²,

Stojanov³

et al. 2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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The systems for localization of resources in indoor environments based on Received Signal Strength Indicator (RSSI) are widely used today. Since satellite navigation systems, such as GPS or GLONASS, have certain difficulties in the indoor environments, the signals of deployed wireless devices, such as sensor nodes, access points etc, are used for localization instead. Those systems are known as Indoor Positioning System (IPS). Those systems are used for resource tracking and positioning in places such as airports, railway stations, shopping malls, warehouses, production facilities, construction sites, and healthcare institutions. The Bluetooth Low Energy is one of the wireless technologies that can be used with great efficiency for indoor localization. It offers easy and economic implementation on mobile devices such as smart phones and tablets. There are many techniques used for determination of position. In a number of methods, such as ROCRSSI or MinMax, the distance from the wireless nodes is used for calculating the location. In those systems the main challenge is to accurately estimate distance from the device based on signal strength. In this paper, usability of various software tools for modelling the distance estimation based on RSSI is discussed. Those software tools are Microsoft Access, R Studio, Octave, and Python.

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Usability of open-source hardware based platform for indoor positioning systems

Cited by 3 publications

References 24 publications

Data Acquisition for Estimating Energy-Efficient Solar-Powered Sensor Node Performance for Usage in Industrial IoT

Data Acquisition for Estimating Energy-Efficient Solar-Powered Sensor Node Performance for Usage in Industrial IoT

Analyses of WSN/UAV network configuration influences on 2.4 GHz IEEE 802.15.4 signal strength

Tools for modelling distance estimation based on RSSI

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