Low-power wireless sensor network for frost monitoring in agriculture research

Diedrichs, Ana; Tabacchi, Germán; Grünwaldt, Guillermo; Pecchia, Matías; Mercado, Gustavo; Antivilo, Francisco Gonzalez

doi:10.1109/argencon.2014.6868546

Cited by 28 publications

(6 citation statements)

References 10 publications

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“…Because they conduct additional data-aggregation duties from the outermost region's CH node and execute data aggregation from their own members, type-3 nodes with the highest energy are installed in middle regions rather than outermost regions. When compared to sensing or transmitting energy, data aggregation consumes more energy [8]. (as described in Table 1).…”

Section: Region-based Sensor Deploymentmentioning

confidence: 99%

Adaptive priority-based sensors during the critical conditions in agriculture

Chidambaranathan

Goswami

2022

ijhs

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Monitoring and controlling the agriculture field is sometimes very difficult to farmers, especially during the natural calamities like flood, unexpected fire due to the excessive of methane, famine and etc. Though various smart technologies implemented in smart farming but still there are some issues occurs during the aforesaid critical conditions. In this paper, we propose to handle the critical condition by selecting the high priority nodes by using the modified Dijikstra algorithm. So the particular node only executed and maximum amount of energy will be consumed and also the priority based sensors will be activated during the critical conditions and transfer the real time data on time.

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Section: Region-based Sensor Deploymentmentioning

confidence: 99%

Adaptive priority-based sensors during the critical conditions in agriculture

Chidambaranathan

Goswami

2022

ijhs

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“…Potential databases: Unavailability of potential databases to process, and store the data will be identified as a barrier. Besides, such platforms needed to be accessed by various places and hold the working load of the connected devices (Diedrichs, et al, 2014).…”

Section: Resource Related Barriersmentioning

confidence: 99%

Investigation on the Readiness of the Sri Lankan Construction Industry towards Internet of Things (IoT): Conceptual Guideline

Dilakshan

Rathnasinghe

Seneviratne

2021

ICBM

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The world is witnessing the dawn of the Fourth Industrial Revolution known as Industry 4.0, where the ICT-fuelled digital economy is taking off exponentially. In such a context, the essence of the Internet identified as the Internet of Things (IoT) is a revolutionary way of procuring goods and services. IoT refers to scenarios where network connectivity and computing capability extend to objects, sensors, and everyday items not generally considered as computers while allowing them to interact among each other with the least involvement of humans. The application of IoT has already extended to the sectors such as manufacturing, transportation, energy, retail, smart cities, healthcare, and buildings to significantly improve the quality of life by increasing efficiency, productivity, profitability, and innovation. Meanwhile, the construction industry is still suffering from complexity and bottlenecks, whereas IoT has aroused researchers' curiosity to investigate the possibility of achieving more efficient management throughout the whole life cycle of a construction project. In the Sri Lankan (SL) context, the construction industry places a vital role in economic and physical development. Furthermore, in the Sri Lankan economy, Construction is the fourth highest sector after services, manufacturing, and agriculture. Therefore, it is vital to recognize the potential of IoT to be adopted in the industry, and associated barriers within such a process, which is the aim of this study. To attain the aim, an extensive literature synthesis was piloted to acknowledge the concepts and current practices of IoT applications in a global context. Literature synthesis revealed the global construction industry's faithfulness towards IoT applications, following a successful identification of potential barriers. Eventually, a conceptual guideline was developed to specify key variables that influence a phenomenon of interest while guiding SL construction professionals to recognize and adopt IoT applications in their respective fields. Keywords: Internet of Things (IoT), Industry 4.0, Construction Informatics, Information Technology, Smart Sensors

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“…Aiming at the energy savings in a wireless sensor network based on the IEEE-802.15.4 standard, the work presented in [ 15 ] reports a hybrid approach, combining the advantages of TDMA and Hopping Spread Spectrum (FHSS). Since the non-determinism of the temporal ballast is removed, the frequency difference between the local clock and the reference clock is often adjusted.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Time Synchronization Support in Wireless Sensor Networks

Bruscato

Heimfarth

Freitas

2017

Sensors

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With the emerging Internet of Things (IoT) technology becoming reality, a number of applications are being proposed. Several of these applications are highly dependent on wireless sensor networks (WSN) to acquire data from the surrounding environment. In order to be really useful for most of applications, the acquired data must be coherent in terms of the time in which they are acquired, which implies that the entire sensor network presents a certain level of time synchronization. Moreover, to efficiently exchange and forward data, many communication protocols used in WSN rely also on time synchronization among the sensor nodes. Observing the importance in complying with this need for time synchronization, this work focuses on the second synchronization problem, proposing, implementing and testing a time synchronization service for low-power WSN using low frequency real-time clocks in each node. To implement this service, three algorithms based on different strategies are proposed: one based on an auto-correction approach, the second based on a prediction mechanism, while the third uses an analytical correction mechanism. Their goal is the same, i.e., to make the clocks of the sensor nodes converge as quickly as possible and then to keep them most similar as possible. This goal comes along with the requirement to keep low energy consumption. Differently from other works in the literature, the proposal here is independent of any specific protocol, i.e., it may be adapted to be used in different protocols. Moreover, it explores the minimum number of synchronization messages by means of a smart clock update strategy, allowing the trade-off between the desired level of synchronization and the associated energy consumption. Experimental results, which includes data acquired from simulations and testbed deployments, provide evidence of the success in meeting this goal, as well as providing means to compare these three approaches considering the best synchronization results and their costs in terms of energy consumption.

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Low-power wireless sensor network for frost monitoring in agriculture research

Cited by 28 publications

References 10 publications

Adaptive priority-based sensors during the critical conditions in agriculture

Adaptive priority-based sensors during the critical conditions in agriculture

Investigation on the Readiness of the Sri Lankan Construction Industry towards Internet of Things (IoT): Conceptual Guideline

Enhancing Time Synchronization Support in Wireless Sensor Networks

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