A Survey on LoRa for IoT: Integrating Edge Computing

Sarker, Victor Kathan; Queralta, Jorge Peña; Gia, Tuan Nguyen; Tenhunen, Hannu; Westerlund, Tomi

doi:10.1109/fmec.2019.8795313

Cited by 70 publications

(28 citation statements)

References 48 publications

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“…Furthermore, a typical LoRa transceiver chipset is comparatively cheaper than other similar wireless communication modules and has a small physical footprint. These make LoRa communication suitable for IoT-based applications where it is not required to continuously send a large amount of data and when long-range operation and high energy-efficiency is desired [31]. Since LoRa is an open access medium, other devices can access the same frequency spectrum.…”

Section: Lora Gatewaymentioning

confidence: 99%

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Sarker

Gia

Dhaou

et al. 2020

Sensors

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A rapidly growing number of vehicles in recent years cause long traffic jams and difficulty in the management of traffic in cities. One of the most significant reasons for increased traffic jams on the road is random parking in unauthorized and non-permitted places. In addition, managing of available parking places cannot achieve the expected reduction in traffic congestion related problems due to mismanagement, lack of real-time parking guidance to the drivers, and general ignorance. As the number of roads, highways and related resources has not increased significantly, a rising need for a smart, dynamic and effective parking solution is observed. Accordingly, with the use of multiple sensors, appropriate communication network and advanced processing capabilities of edge and cloud computing, a smart parking system can help manage parking effectively and make it easier for the vehicle owners. In this paper, we propose a multi-layer architecture for smart parking system consisting of multi-parametric parking slot sensor nodes, latest long-range low-power wireless communication technology and Edge-Cloud computation. The proposed system enables dynamic management of parking for large areas while providing useful information to the drivers about available parking locations and related services through near real-time monitoring of vehicles. Furthermore, we propose a dynamic pricing algorithm to yield maximum possible revenue for the parking authority and optimum parking slot availability for the drivers.

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Section: Lora Gatewaymentioning

confidence: 99%

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Sarker

Gia

Dhaou

et al. 2020

Sensors

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“…The parameters used in this case are shown in Table 3 . The data on sensor data refer to [ 65 , 66 ]. The data on VM migration refer to [ 40 ].…”

Section: Resultsmentioning

confidence: 99%

Timely Reliability Analysis of Virtual Machines Considering Migration and Recovery in an Edge Server

Liu

Guo

Wang

et al. 2020

Sensors

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For the edge computing network, whether the end-to-end delay satisfies the delay constraint of the task is critical, especially for delay-sensitive tasks. Virtual machine (VM) migration improves the robustness of the network, whereas it also causes service downtime and increases the end-to-end delay. To study the influence of failure, migration, and recovery of VMs, we define three states for the VMs in an edge server and build a continuous-time Markov chain (CTMC). Then, we develop a matrix-geometric method and a first passage time method to obtain the VMs timely reliability (VTR) and the end-to-end timely reliability (ETR). The numerical results are verified by simulation based on OMNeT++. Results show that VTR is a monotonic function of the migration rate and the number of VMs. However, in some cases, the increase in task VMs (TVMs) may conversely decrease VTR, since more TVMs also brings about more failures in a given time. Moreover, we find that there is a trade-off between TVMs and backup VMs (BVMs) when the total number of VMs is limited. Our findings may shed light on understanding the impact of VM migration on end-to-end delay and designing a more reliable edge computing network for delay-sensitive applications.

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“…A well-known example is longrange radio (LoRa), which allows very low energy consumption and long life (i.e., 10 years with battery), low cost, wide coverage and large networks (52,000 devices/channel/cell). This is why LoRa is being used extensively in IoT applications in all fields, including PA [19,[24][25][26][27][28][29][30][31][32]. However, there are numerous WSN deployments in PA that use 802.11 wireless fidelity (Wi-Fi) [18,[33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

et al. 2021

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The application of deficit irrigation techniques is essential in arid or semi-arid areas of the southeast of Spain, where water is a scarce and very costly resource. However, to apply these techniques, it is necessary to carry out preliminary tests on the specific crop in order to develop the models that allow the optimization of water use while achieving acceptable yields. The system proposed in this article demonstrates the feasibility of using wireless technologies available in most facilities (Wireless Fidelity) to deploy a high-density network of nodes with a variety of heterogeneous sensors to collect data from the soil, plant, and atmosphere. The data are sent and stored in a cloud server for real-time visualization from any mobile device and further analysis. The nodes have been developed using low-cost processors and are equipped with batteries and solar panels, allowing their autonomy to be virtually unlimited, as shown by the consumption studies and tests carried out.

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A Survey on LoRa for IoT: Integrating Edge Computing

Cited by 70 publications

References 48 publications

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Timely Reliability Analysis of Virtual Machines Considering Migration and Recovery in an Edge Server

High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

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