A Survey on the Viability of Confirmed Traffic in a LoRaWAN

Marais, Jaco Morné; Abu‐Mahfouz, Adnan M.; Hancke, Gerhard P.

doi:10.1109/access.2020.2964909

Cited by 54 publications

(25 citation statements)

References 58 publications

(132 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Moreover, acknowledgements are natively supported by the frame structure of TS-LoRa in the SACK packet which can be easily added into the following formulation. Nevertheless, for fair compare reasons of the optimal solution with the Aloha (which considerably suffers for the downlink traffic [ 33 ]), we skip its formulation. The network is composed of a set of N nodes.…”

Section: The Optimal Data Scheduling Problemmentioning

confidence: 99%

Optimal Data Collection Time in LoRa Networks—A Time-Slotted Approach

Zorbas

Caillouet

Abdelfadeel

et al. 2021

Sensors

View full text Add to dashboard Cite

LoRa is a low-power and long range radio communication technology designed for low-power Internet of Things devices. These devices are often deployed in remote areas where the end-to-end connectivity provided through one or more gateways may be limited. In this paper, we examine the case where the gateway is not available at all times. As a consequence, the sensing data need to be buffered locally and transmitted as soon as a gateway becomes available. However, due to the Aloha-style transmission policy of current LoRa-based standards, such as the LoRaWAN, delivering a large number of packets in a short period of time by a large number of nodes becomes impossible. To avoid bursts of collisions and expedite data collection, we propose a time-slotted transmission scheduling mechanism. We formulate the data scheduling optimisation problem, taking into account LoRa characteristics, and compare its performance to low complexity heuristics. Moreover, we conduct a set of simulations to show the benefits of synchronous communications on the data collection time and the network performance. The results show that the data collection can reliably be achieved at least 10 times faster compared to an Aloha-based approach for networks with 100 or more nodes. We also develop a proof-of-concept to assess the overhead cost of communicating the schedule to the nodes and we present experimental results.

show abstract

Section: The Optimal Data Scheduling Problemmentioning

confidence: 99%

Optimal Data Collection Time in LoRa Networks—A Time-Slotted Approach

Zorbas

Caillouet

Abdelfadeel

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The implications (v) and (vi) are primarily due to the fact that our target use-case does not imply any obligatory down-going traffic. Also, we mind the limited time-frequency resources of a satellite-based LoRaWAN gateway for downlink and the potential of downlink traffic negatively affecting the network performance in LoRaWAN, which has been shown in the literature [36], [37]. Note, that the implementation of downlink LoRaWAN traffic from a satellite-based gateway would likely introduce novel technical challenges.…”

Section: Lorawan Parameters and Configurationsmentioning

confidence: 94%

Enabling mMTC in Remote Areas: LoRaWAN and LEO Satellite Integration for Offshore Wind Farm Monitoring

Ullah

Mikhaylov

Alves

2022

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

The offshore wind farms are gaining momentum due to their promise to offer sustainable energy with low pollution and greenhouse gases emission. However, despite all the immense technological progress of recent years, the operation in a harsh and hard-to-reach environment remains challenging. According to the reports, each offshore wind turbine requires five maintenance visits a year on average, and the cumulative repair costs constitute around 30% of the turbine's life-cycle expenditure. Motivated by the advancement of massive machinetype connectivity (mMTC) and satellite technologies, in this study, we investigate the potential of these to enable remote monitoring of the offshore wind farms. Specifically, the two alternative architectures are considered. The indirect architecture relies on using a local mMTC gateway (GW) with a backbone over a reliable communication channel (e.g., satellite or wire-based). The direct approach implies the transmission of the data by sensors on the wind turbines directly to the mMTC GW on the lowearth orbit (LEO) satellite. The details of the system design, the alternative implementation strategies and relevant pros, cons and trade-offs are pin-pointed. Finally, we employ simulations using realistic deployment and traffic and advanced propagation and collision models to characterize these two approaches' feasibility and packet delivery probability numerically when implemented over LoRaWAN mMTC technology.

show abstract

“…SDWSN [12] in combination with LPWAN technologies such as LoRaWAN [13] has the potential to enable health workers to collect data and monitor the coronavirus spread over multiple locations and large communities. While these IoT technologies are being implemented to combat COVID-19, the inherent IoT platforms and communication protocols are expected to evolve.…”

Section: Introductionmentioning

confidence: 99%

IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

et al. 2020

Self Cite

View full text Add to dashboard Cite

The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to the general way of life. Major sectors of the world industry and economy have been affected and the Internet of Things (IoT) management and framework is no exception in this regard. This article provides an up to date survey on how a global pandemic such as COVID-19 has affected the world of IoT technologies. It looks at the contributions that IoT and associated sensor technologies have made towards virus tracing, tracking and spread mitigation. The associated challenges of deployment of sensor hardware in the face of a rapidly spreading pandemic have been looked into as part of this review article. The effects of a global pandemic on the evolution of IoT architectures and management have also been addressed, leading to the likely outcomes on future IoT implementations. In general, this article provides an insight into the advancement of sensor-based E-health towards the management of global pandemics. It also answers the question of how a global virus pandemic has shaped the future of IoT networks.

show abstract

A Survey on the Viability of Confirmed Traffic in a LoRaWAN

Cited by 54 publications

References 58 publications

Optimal Data Collection Time in LoRa Networks—A Time-Slotted Approach

Optimal Data Collection Time in LoRa Networks—A Time-Slotted Approach

Enabling mMTC in Remote Areas: LoRaWAN and LEO Satellite Integration for Offshore Wind Farm Monitoring

IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

Contact Info

Product

Resources

About