IoT agriculture system based on LoRaWAN

Davčev, Danco; Mitreski, Kosta; Trajkovic, Stefan; Nikolovski, Viktor; Koteli, Nikola

doi:10.1109/wfcs.2018.8402368

Cited by 152 publications

(72 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Differently from other LPWANs, LoRaWAN is an open standard, supported by an alliance in charge of drafting standards, with many manufacturers offering development solutions. Not surprisingly, very different application scenarios have been addressed in the market and in the literature, including precision agriculture [47,48], electric vehicles management [49,50], industry [51,52], buildings [53,54], and finally, smart campus [55,56].…”

Section: Appendix a The Lorawan Communication Solutionsmentioning

confidence: 99%

On the Use of LoRaWAN for the Monitoring and Control of Distributed Energy Resources in a Smart Campus

et al. 2020

View full text Add to dashboard Cite

The application of the most recent advances of the Internet-of-Things (IoT) technology to the automation of buildings is emerging as a promising solution to achieve greater efficiencies in energy consumption, and to allow the realization of sustainable models. The application of IoT has been demonstrated as effective in many fields, such as confirmed, for instance, by the Industry 4.0 concepts, which are revolutionizing modern production chains. By following this approach, the use of distributed control architectures and of IoT technologies (both wired and wireless) would result in effective solutions for the management of smart environments composed of groups of buildings, such as campuses. In this case, heterogeneous IoT solutions are typically adopted to satisfy the requirements of the very diverse possible scenarios (e.g., indoor versus outdoor coverage, mobile versus fixed nodes, just to mention a few), making their large-scale integration cumbersome. To cope with this issue, this paper presents an IoT architecture able to transparently manage different communication protocols in smart environments, and investigates its possible application for the monitoring and control of distributed energy resources in a smart campus. In particular, a use–case focused on the integration of the Long Range Wide Area Network (LoRaWAN) technology is considered to cope with heterogeneous indoor and outdoor communication scenarios. The feasibility analysis of the proposed solution is carried out by computing the scalability limits of the approach, based on the proposed smart campus data model. The results of the study showed that the proposed solution would be able to manage more than 10,000 nodes. An experimental validation of the LoRaWAN technology confirms its suitability in terms of coverage and latency, with a minimum LoRaWAN cell coverage range of 250 m, and a communication latency of about 400 ms. Finally, the advantages of the proposed solution in the supervision and management of a PV system are highlighted in a real-world scenario.

show abstract

Section: Appendix a The Lorawan Communication Solutionsmentioning

confidence: 99%

On the Use of LoRaWAN for the Monitoring and Control of Distributed Energy Resources in a Smart Campus

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In the literature there are several studies related to object and environmental monitoring by means of LoRa, concerning agriculture and livestock farming [19,21,[23][24][25], health [26], forestry [12,27], smart cities [2,28], industrial [4,5,29] and maritime [9] applications.…”

Section: Related Workmentioning

confidence: 99%

“…The goal is to avoid cattle theft, by monitoring position and speed of the animals, but no information is provided on other biomarkers such as body temperature and motion. Agriculture monitoring is the target of the work described in [24]. In particular, [24] focuses on a sensor network devoted to the monitoring of environmental parameters in the field (temperature, humidity), and to a parallel actuator network that is used to remotely operate on vineyards for automated irrigation.…”

Section: Related Workmentioning

confidence: 99%

“…In particular, [24] focuses on a sensor network devoted to the monitoring of environmental parameters in the field (temperature, humidity), and to a parallel actuator network that is used to remotely operate on vineyards for automated irrigation. The paper [24] does not provide details of the used hardware, nonetheless [24] adopts a LoRaWAN network and a commercial service provider for cloud-related tasks. In [25], vital signs of grazing cattle are collected via a LoRa network.…”

Section: Related Workmentioning

confidence: 99%

“…In the above presented LoRaWAN approaches [2,4,5,12,21,[23][24][25][26][27][28][29], the adopted LoRaWAN MAC layer does not include a listen-before-talk (LBT) mechanism that tries to prevent as much as possible packet collisions among nodes [34]. On the contrary, our paper proposes a custom MAC layer that includes LBT-based carrier-sense multiple access with collision avoidance (CSMA/CA), to be incorporated with the physical layer of LoRa.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

An IoT Architecture for Continuous Livestock Monitoring Using LoRa LPWAN

et al. 2019

View full text Add to dashboard Cite

The Internet of Things (IoT) architecture is quickly becoming popular even outside of its originating scenario of home automation. This paper reports the design, implementation, and performance of an IoT hardware and software architecture conceived for the continuous monitoring of livestock located in barns and during grazing. We have adopted the LoRa low power wide area network (LPWAN) technology to cover the diverse environments, and a suitable configuration of web services to perform data storage, analysis, and visualization. Since the LoRa LPWAN (LoRaWAN) medium access control (MAC) layer does not provide a listen-before-talk (LBT) mechanism, we propose a custom MAC layer with LBT-based carrier-sense multiple access with collision avoidance (CSMA/CA). The devised system has been implemented using off-the-shelf hardware, and its performance has also been estimated with the help of a C++ event-based simulator. The preliminary results of our HW implementation on the field confirm the stability of the conceived system and its reliability. suburban or rural environments [15], making this technology viable for both small and medium-scale applications. It has also been shown that a single LoRa gateway can manage a large number of EDs with little maintenance and easy deployment [5].LoRa is a proprietary wireless communication standard developed by Semtech, based on a chirp spread spectrum (CSS) modulation [16,17]. The physical layer (PHY) uses chirp waveforms with different chirp rate, to maintain orthogonality among different classes of users, and with different initial frequency, to convey the actual information message [15]. Channel coding is also used, with interleaving and Hamming block codes. Although the details of the LoRa PHY are not public, several authors have tried and succeeded to reverse-engineer, almost completely, its PHY communication techniques [18].On the other side, LoRaWAN is an open MAC protocol, built on top of the LoRa PHY, that is specifically designed for low-powered devices operating over long-range wireless links. Even though LoRaWAN is commonly used in deploying LoRa networks [19], in this work we have decided to implement a custom MAC layer in order to have more control over the architectural design and to remove some features of the LoRaWAN layer [20] that are not used in our application, such as the large header size when short payloads have to be delivered, and the packet acknowledgments managed by a LoRa server. Continuous and near-real-time monitoring of livestock, in particular of dairy cattle, can help to provide information vital to study the animal behavior and to prevent pathological states that have a negative impact on livestock health [21,22].In particular, our proposed architecture aims at analyzing, almost in real-time, the status of dairy cattle in a cowshed or during grazing by means of sensors embedded in smart collars. By the way, this approach may be extended also to other kinds of livestock, such as beef cattle, swine, ovine, and even equine.In this paper we first de...

show abstract