LoRaWAN Performance Evaluation with Optimized Configuration

Harwahyu, Ruki; Presekal, Alfan; Sari, Riri Fitri

doi:10.14257/ijfgcn.2018.11.4.05

Cited by 9 publications

(9 citation statements)

References 10 publications

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“…In this paper, we performed a comprehensive analysis of solutions that have been developed to optimize ADR algorithms. The proposed optimization techniques address specific challenges such as scalability [ 28 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ], throughput [ 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ] and energy efficiency [ 20 , 46 , 47 , 48 , 49 , 50 , 51 ]. Our analysis distinguished the approaches used and highlighted the challenges and performance in the studies considered.…”

Section: Comparison and Discussionmentioning

confidence: 99%

“…The challenge of conserving energy in LoRaWAN networks is a QoS in the ADR algorithms in [ 20 , 46 , 47 , 48 , 49 , 50 , 51 ]. In [ 20 ] they first optimize every end node to minimise the ToA, which is determined by its distance from the gateway, searching for optimal gateway location ensuring all nodes are connected. They then use the results of the first optimisation to do a second optimisation that minimizes energy consumption.…”

Section: Comparison and Discussionmentioning

confidence: 99%

“…LoRa end nodes are set up utilizing distinct SF, BW, CR and TP settings, resulting in several permutation possibilities. The LoRaWAN network performance vastly depends on the configuration of these parameters [ 20 ]. Determining the settings that curtail the cost of transmission energy whilst sustaining the communication performance requirements is challenging.…”

Section: Technology Overviewmentioning

confidence: 99%

“…Authors in [ 20 ] evaluated the performance of LoRaWAN under different scenarios using computer simulation and testbeds. They investigate the network performance regarding PDR, mean energy usage per transmission and mean energy utilization due to packet collision per node.…”

Section: Review Of Adaptive Data Rate Algorithmsmentioning

confidence: 99%

See 3 more Smart Citations

A Survey on Adaptive Data Rate Optimization in LoRaWAN: Recent Solutions and Major Challenges

Kufakunesu

Hancke

Abu‐Mahfouz

2020

Sensors

137

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Long-Range Wide Area Network (LoRaWAN) is a fast-growing communication system for Low Power Wide Area Networks (LPWAN) in the Internet of Things (IoTs) deployments. LoRaWAN is built to optimize LPWANs for battery lifetime, capacity, range, and cost. LoRaWAN employs an Adaptive Data Rate (ADR) scheme that dynamically optimizes data rate, airtime, and energy consumption. The major challenge in LoRaWAN is that the LoRa specification does not state how the network server must command end nodes pertaining rate adaptation. As a result, numerous ADR schemes have been proposed to cater for the many applications of IoT technology, the quality of service requirements, different metrics, and radio frequency (RF) conditions. This offers a challenge for the reliability and suitability of these schemes. This paper presents a comprehensive review of the research on ADR algorithms for LoRaWAN technology. First, we provide an overview of LoRaWAN network performance that has been explored and documented in the literature and then focus on recent solutions for ADR as an optimization approach to improve throughput, energy efficiency and scalability. We then distinguish the approaches used, highlight their strengths and drawbacks, and provide a comparison of these approaches. Finally, we identify some research gaps and future directions.

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Section: Comparison and Discussionmentioning

confidence: 99%

Section: Comparison and Discussionmentioning

confidence: 99%

Section: Technology Overviewmentioning

confidence: 99%

Section: Review Of Adaptive Data Rate Algorithmsmentioning

confidence: 99%

See 2 more Smart Citations

A Survey on Adaptive Data Rate Optimization in LoRaWAN: Recent Solutions and Major Challenges

Kufakunesu

Hancke

Abu‐Mahfouz

2020

Sensors

137

View full text Add to dashboard Cite

show abstract

“…However, LoRa uses sub 1 GHz unlicensed spectrum. In the era of connected smart things, this spectrum is very crowded and will be even more crowded [11]. The number IoT units installed in 2020 is more than 20 millions [12] and according to a study by Wi-Fi Alliance [13,14], additional spectrum between 500 MHz and 1 GHz in various regions are needed to support the expected growth by 2020.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Mobile LoRa Gateway for Smart Electricity Meter

Sugianto¹,

Anhar²,

Harwahyu³

et al. 2018

EECSI

Self Cite

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LoRa is a viable connectivity technology for smart electricity meter. In addition to measuring electricity usage, a smart electricity meter enables many features for smart grid, safety, etc. LoRa is advertised to be capable in very long range transmission and low power consumption. However, LoRa uses sub 1 GHz unlicensed spectrum. In the era of connected smart things, this spectrum is very crowded and will be even more crowded. In this paper we propose the use of mobile LoRa gateway for smart electricity meter. With mobile LoRa gateway, the transmission range can be decreased. Thus, LoRa end devices can save more power and nearby systems can reuse the same band with less interference. We study the performance via simulation using modified LoRaSim. The result shows that the performance of LoRa mobile gateway can be achieved.

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