Testbed Facilities for IoT and Wireless Sensor Networks: A Systematic Review

Judvaitis, Jānis; Abolins, Valters; Elkenawy, Amr; Balašs, Rihards; Selavo, Leo; Ozols, Kaspars

doi:10.3390/jsan12030048

Cited by 4 publications

(1 citation statement)

References 65 publications

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“…For the same objective, a previous number of research works have been done in the literature. It involves several key steps: node initialization for efficient sensor node configuration, clustering using the Hesitant Fuzzy Entropy and Grey Wolf Optimization Algorithm (Din et al 2020), (Judvaitis et al 2023) to optimize cluster formation, a random selection of Cluster Heads (CHs) based on energy levels, data collection within clusters to conserve energy and ensure accurate data collection. Compared to other clustering techniques FCM has successfully resulted in better clustering and has also shown the advantages of flexibility, robustness and interpretability.…”

Section: Introductionmentioning

confidence: 99%

Combined localization and clustering approach for reduced energy presumption in heterogeneous IoT

et al. 2024

Phys. Scr.

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The field of H-IoT is emerging with enormous potential to empower various technologies. Smart cities and advanced manufacturing are a few of the fields where H-IoT is currently used. The issue with H-IoT is that it uses a lot of energy when transmitting data, which makes it difficult to scale. To overcome such issues, a hybrid approach of CrayFish Optimization (CFO) with FCM and Restricted Boltzmann Machine (RBM) with Soft Sign Activation (SSA) has been proposed. Initially, Node initialization lays the foundation by configuring individual sensor nodes for network participation. After initialization, Fuzzy C Means clustering optimizes data aggregation by categorizing nodes into clusters based on similarity. Gathering Neighbor Node Traffic Data (NNTD) provides insights into communication patterns. Based on the threshold of NNTD node localization is done that enhances network accuracy by pinpointing sensor node locations. Integration of CFO into clustering with localization further improves cluster head selection for optimal data routing. Classification through the RBM with SSA function enhances anomaly detection with data analysis for optimizing energy utilization in heterogeneous IoT environments. The “combined CFO-FCM and SSA-RBM” has been implemented in MATLAB and achieved an accuracy of 94.50 %. As a result, the overall performance of the system is improved.

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Section: Introductionmentioning

confidence: 99%

Combined localization and clustering approach for reduced energy presumption in heterogeneous IoT

et al. 2024

Phys. Scr.

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Precise realtime current consumption measurement in IoT TestBed

Balass,

Medvedevs,

Mackus

et al. 2024

Open Res Europe

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Background The Internet of Things, similar to wireless sensor networks, has been integrated into the daily life of almost everyone. These wearable, stationary, or mobile devices are in multiple locations, collecting data or monitoring and executing certain tasks. Some can monitor environmental values and interact with the environment, while others are used for data collection, entertainment, or even lifesaving. To achieve the wireless part of the system, the majority of sensor nodes are designed to be battery-powered. While battery power has become increasingly ubiquitous, it tends to increase the global carbon footprint of electronic devices. This issue can be mitigated by employing some form of energy harvesting so that batteries can be refilled and the gadget lasts longer, but this does not alter the reality that batteries are still used and eventually discarded. Methods In this paper, the authors emphasize the significance of power consumption in battery-powered devices. To be able to monitor devices’ power consumption, one of the measurable parameters is current. When users know the exact current consumption, they can decrease it by polishing the program or tweaking the duty cycle, making radio transmit fewer data or less frequently, thus decreasing overall power draw. Results In order to simplify current consumption monitoring, the authors have developed a testbed facility that provides real-time current consumption measurements, which may be used to enhance the duty cycle and battery life of the aforementioned devices. Conclusions While minimizing total current consumption is a great way to extend the battery life and, thus, the carbon footprint, the primary culprit in the Internet of Things is radio communications. This transmission is the primary source of current consumption. By determining the exact amount of current drawn during transmission and adjusting it, users can significantly extend battery life.

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A Comprehensive Review of Sensor-Based Smart Building Monitoring and Data Gathering Techniques

Lavrinovica,

Judvaitis,

Laksis

et al. 2024

Applied Sciences

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In an era where buildings are increasingly becoming multifaceted entities, the paradigm of smart buildings has witnessed significant evolution. This advancement integrates sophisticated communication technologies, the Internet of Things (IoT), artificial intelligence (AI), and data analytics. Intending to design an effective smart building monitoring system, this research paper explores and compares various solutions for measuring building parameters by identifying a broad spectrum of review articles considering building occupant behavior, sensor deployment, and implementation complexity. The objective of our paper is to compile diverse information on various sensors used for monitoring building conditions and provide a comprehensive overview of data structuring and processing, all within a single article. Additionally, this paper addresses the challenges of combining data from decentralized systems and the need for managerial tools to optimize user experiences. The findings contribute to the advancement of smart building management, offering valuable insights for improving building performance and user experience as well as evaluating future research directions in this field. This review is designed to serve as an introduction for anyone venturing into the field of building monitoring.

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Testbed Facilities for IoT and Wireless Sensor Networks: A Systematic Review

Cited by 4 publications

References 65 publications

Combined localization and clustering approach for reduced energy presumption in heterogeneous IoT

Combined localization and clustering approach for reduced energy presumption in heterogeneous IoT

Precise realtime current consumption measurement in IoT TestBed

A Comprehensive Review of Sensor-Based Smart Building Monitoring and Data Gathering Techniques

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