Data Transmission Reduction in Wireless Sensor Network for Spatial Event Detection

Lewandowski, Marcin; Płaczek, Bartłomiej

doi:10.3390/s21217256

Cited by 9 publications

(5 citation statements)

References 53 publications

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“…While the achievements in high data rates and successful error-free transmission over certain distances showcase the potential of underwater optical communications, the limitations related to static deployment strategies should be recognized [13][14][15][16][17][18]. In real-world underwater scenarios, the presence of mobile components necessitates adaptable and dynamic communication approaches.…”

Section: Literature Survey Of Proposed Systemmentioning

confidence: 99%

A Multi-layer Guidance Approach for Submerged Sensor Networks Integrating Acoustic and Optical Technologies

2024

Teh. vjesn.

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Over the previous decade, there has been a significant focus on researching underwater acoustic sensor networks (UW-ASNs) for a diverse range of underwater applications, which in turn has facilitated human exploration of the expansive underwater environment. This research introduces an innovative architectural approach that signifies a noteworthy advancement. By combining both acoustic and optical components, it establishes an underwater wireless sensor network. Additionally, the research introduces an innovative multiple levels Q learning-grounded direction-finding procedure, denoted as the proposed system Multi-layer Guidance Approach (MLGA) which is meticulously tailored for such underwater networks. The network's architecture encompasses both physical grouping and logical division into two tiers: the upper tier is overseen by group leaders responsible for managing routing within the lower tier, where group members execute the actual data packet routing. This design capitalizes on the wider viewpoint of upper-tier group leaders and the concurrent learning processes occurring across all groups, resulting in a substantial enhancement in routing efficiency in comparison with traditional methodologies. The empirical results obtained from experimental tests underscore the robustness of the proposed system when confronted with changes in network topology. Moreover, it showcases the system's ability to achieve higher delivery rates and reduced delays in dynamic networks compared to the established approach of flat Q-learning routing. This innovative strategy holds the potential to significantly push the boundaries of underwater sensor networks, surpassing the constraints of conventional communication methods and providing a more effective and dependable means of transmitting data underwater. This advancement not only contributes to the technical aspects but also holds promise for fostering greater exploration and understanding of underwater environments.

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Section: Literature Survey Of Proposed Systemmentioning

confidence: 99%

A Multi-layer Guidance Approach for Submerged Sensor Networks Integrating Acoustic and Optical Technologies

2024

Teh. vjesn.

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“…The report time plotted in Figure 3 measures the time between two consecutive data transmissions over the wireless channel. This parameter has an impact on the lifetime of battery-powered wireless sensor nodes since the wireless transmission is the most energy-consuming operation [51]. It is worth noting that in laboratory-assessed works (circle markers), the report time is no longer than 1 min, while it can span up to 20 h in a real pipeline scenario (diamond markers).…”

Section: Wireless Communication Parametersmentioning

confidence: 99%

From Radio to In-Pipe Acoustic Communication for Smart Water Networks in Urban Environments: Design Challenges and Future Trends

Fishta,

Raviola,

Fiori

2023

Information

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The smart management of water resources is an increasingly important topic in today’s society. In this context, the paradigm of Smart Water Grids (SWGs) aims at a constant monitoring through a network of smart nodes deployed over the water distribution infrastructure. This facilitates a continuous assessment of water quality and the state of health of the pipeline infrastructure, enabling early detection of leaks and water contamination. Acoustic-wave-based technology has arisen as a viable communication technique among the nodes of the network. Such technology can be suitable for replacing traditional wireless networks in SWGs, as the acoustic channel is intrinsically embedded in the water supply network. However, the fluid-filled pipe is one of the most challenging media for data communication. Existing works proposing in-pipe acoustic communication systems are promising, but a comparison between the different implementations and their performance has not yet been reported. This paper reviews existing works dealing with acoustic-based communication networks in real large-scale urban water supply networks. For this purpose, an overview of the characteristics, trends and design challenges of existing works is provided in the present work as a guideline for future research.

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“…In this paper, the use of prediction schemes [7,8] is analyzed as a promising approach to addressing the problem of data sampling and transmission reduction in WSNs. Let us consider a sensor node in a WSN, which reports its data readings to a gateway.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent Prediction Method for Data Sampling and Transmission Reduction in Internet of Things Sensor Networks

Płaczek

2023

Sensors

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Sensor networks can provide valuable real-time data for various IoT applications. However, the amount of sensed and transmitted data should be kept at a low level due to the limitations imposed by network bandwidth, data storage, processing capabilities, and finite energy resources. In this paper, a new method is introduced that uses the predicted intervals of possible sensor readings to efficiently suppress unnecessary transmissions and decrease the amount of data samples collected by a sensor node. In the proposed method, the intervals of possible sensor readings are determined with a multi-agent system, where each agent independently explores a historical dataset and evaluates the similarity between past and current sensor readings to make predictions. Based on the predicted intervals, it is determined whether the real sensed data can be useful for a given IoT application and when the next data sample should be transmitted. The prediction algorithm is executed by the IoT gateway or in the cloud. The presented method is applicable to IoT sensor networks that utilize low-end devices with limited processing power, memory, and energy resources. During the experiments, the advantages of the introduced method were demonstrated by considering the criteria of prediction interval width, coverage probability, and transmission reduction. The experimental results confirm that the introduced method improves the accuracy of prediction intervals and achieves a higher rate of transmission reduction compared with state-of-the-art prediction methods.

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Data Transmission Reduction in Wireless Sensor Network for Spatial Event Detection

Cited by 9 publications

References 53 publications

A Multi-layer Guidance Approach for Submerged Sensor Networks Integrating Acoustic and Optical Technologies

A Multi-layer Guidance Approach for Submerged Sensor Networks Integrating Acoustic and Optical Technologies

From Radio to In-Pipe Acoustic Communication for Smart Water Networks in Urban Environments: Design Challenges and Future Trends

A Multi-Agent Prediction Method for Data Sampling and Transmission Reduction in Internet of Things Sensor Networks

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