Performance optimization of LoRa nodes for the future smart city/industry

Sandoval, Ruben M.; García-Sánchez, Antonio-Javier

doi:10.1186/s13638-019-1522-1

Cited by 34 publications

(28 citation statements)

References 37 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%

“…ADR schemes that maximize throughput maximizing solutions for the ADR scheme were discussed in [ 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ]. The ordered waterfalling technique used in [ 37 ] for even distribution of channel load between the end nodes in the system by equally distributing SFs and then channel utilization.…”

Section: Comparison and Discussionmentioning

confidence: 99%

“…A mathematical model whose numerical analysis results in a closed form formula that maximizes throughput whilst complying with transmission duty cycle (TDC) regulations was proposed in [ 41 ]. Their model mitigates against strict restrictions imposed on duty cycle of ISM bands in some regions and improves transmission and power efficiency in the end nodes.…”

Section: Review Of Adaptive Data Rate Algorithmsmentioning

confidence: 99%

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

Kufakunesu

Hancke

Abu‐Mahfouz

2020

Sensors

136

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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: Review Of Adaptive Data Rate Algorithmsmentioning

confidence: 99%

See 1 more Smart Citation

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

Kufakunesu

Hancke

Abu‐Mahfouz

2020

Sensors

136

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“…To improve QoS in LoRa, the authors in [20] first derived the IoT node's mathematical model. From the mathematical model, the closed-form formula is derived to characterize the node performance.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Clustering Optimization of LoRa Networks for Perturbed Ultra-Dense IoT Networks

et al. 2021

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Long Range (LoRa) communication is widely adapted in long-range Internet of Things (IoT) applications. LoRa is one of the powerful technologies of Low Power Wide Area Networking (LPWAN) standards designed for IoT applications. Enormous IoT applications lead to massive traffic results, which affect the entire network's operation by decreasing the quality of service (QoS) and minimizing the throughput and capacity of the LoRa network. To this end, this paper proposes a novel cluster throughput model of the throughput distribution function in a cluster to estimate the expected value of the throughput capacity. This paper develops two main clustering algorithms using dense LoRa-based IoT networks that allow clustering of end devices according to the criterion of maximum served traffic. The algorithms are built based on two-common methods, K-means and FOREL. In contrast to existing methods, the developed method provides the maximum value of served traffic in a cluster. Results reveal that our proposed cluster throughput model obtained a higher average throughput value by using a normal distribution than a uniform distribution.

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“…Smart city [1], [2], [3] is an agglomeration of urban society that employs intelligent technologies to improve how people live, work, commute and share information. A key aspect of a smart city is mobile online social networks (mOSNs) [4], [5], [6], [7], [8] that are popular mainstream platforms for information and content sharing among people.…”

Section: Introductionmentioning

confidence: 99%

Location-Sharing Protocol for Privacy Protection in Mobile Online Social Networks

Ruan

Zhang

2020

Preprint

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Location-based services are becoming more and more popular in mobile online so-cial networks(mOSNs) for smart cities, but users' privacy also has aroused wide concern, such as locations, friend sets and other private information. At present, many location sharing protocols in mOSNs have been proposed, but these pro-tocols are inecient and ignore some security risks. In this paper, we propose a new location sharing protocol, which solves these two issues by using symmetric encryption and asymmetric encryption properly. We adopt the following methods to reduce the communication and computation costs: only setting up one loca-tion server; connecting social network server and location server directly instead of through celluar towers; avoiding broadcast encryption. We introduce dummy iden-tities to protect users' identity privacy, and prevent location server from inferring users' activity tracks by updating dummy identities in time. The details of security and performance analysis with the related protocols show that our protocol enjoys two advantages: (1) it's more ecient than the related protocols, which greatly re-duces the computation and communication costs; (2) it satises all security goals, however, most previous protocols only meet some security goals.

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Performance optimization of LoRa nodes for the future smart city/industry

Cited by 34 publications

References 37 publications

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

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

Clustering Optimization of LoRa Networks for Perturbed Ultra-Dense IoT Networks

Location-Sharing Protocol for Privacy Protection in Mobile Online Social Networks

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