Distributed Queueing-Based Random Access Protocol for LoRa Networks

Wu, Wei; Li, Yan; Wang, Bin; Wang, Wennai

doi:10.1109/jiot.2019.2945327

Cited by 39 publications

(41 citation statements)

References 23 publications

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“…In [5], the authors proposed to replace the pure Aloha algorithm used in LoRA networks by the DQ algorithm. They introduced the DQ-LoRA, where the Distributed Queuing protocol was used at the media access layer, and the LoRa technology was applied at the physical layer.…”

Section: Dq In Low Power Wide Area Networkmentioning

confidence: 99%

“…The choice of Aloha-based algorithms is motivated by its easy implementation in low power, inexpensive and small size devices that are intended to dominate those networks. However, as many studies [2]- [5] pointed out, the Aloha-based algorithms are inefficient in terms of energy consumption, throughput, and access delay when the network size is high. Thus, there is a need for new access schemes to address the scalability issue of those networks with a potentially massive number of connections per session.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the studies reviewed have been found to put an emphasis on the evaluation of these four performance metrics: the access delay [3]- [5], [9], [10], [12]- [16], the throughput [2]- [6], [15], [16], the energy consumption [2], [3], [5], [8], [14], and the number of attempts per node [3], [4], [10], [11]. Besides, it is a fact that the algorithm outperforms the Aloha-based schemes in terms of those performance metrics.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Statistical Analysis of a Distributed Queuing Random Access Protocol in a Massive Communication Environment

Nibitanga¹,

Mwangi²,

Ndungu³

2020

EAI Endorsed Trans IoT

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Most of the networks deployed for massive IoT communications use Aloha-based algorithms for channel access. However, those algorithms are known to be unstable and inefficient when the network size is high. Since recently, a Distributed Queuing (DQ) algorithm is being proposed as a solution to mitigate several of the Aloha issues in IoT networks. In this paper, a statistical performance analysis of the DQ algorithm without any prior consideration of any physical layer is presented. We evaluate the DQ algorithm in a massive communication environment and give the average values for these performance metrics: collision resolution time, access delay per sensor, channel throughput, number of attempts required by a sensor to complete the contention process, number of nodes contending per frame and the distribution of contention slots into idle, successful, and collided. The goal of this paper is to provide a statistical baseline performance evaluation of the DQ algorithm in general.

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Section: Dq In Low Power Wide Area Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Statistical Analysis of a Distributed Queuing Random Access Protocol in a Massive Communication Environment

Nibitanga¹,

Mwangi²,

Ndungu³

2020

EAI Endorsed Trans IoT

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“…There are some existing protocols in LoRa communication such as LoRaBlink [7], LoRaWAN [6], DQ-LoRa [19] and the Multi-hop LoRa linear protocol [8]:…”

mentioning

confidence: 99%

“…Thus, this protocol is not suitable to apply to a wide area. • DQ-LoRa [19] is a Medium Access Control (MAC) protocol based on a tree-splitting algorithm that extends from LoRaWAN [6] for star topology. First, in each frame, the end-device nodes compete to transmit Random Access Preamble (RAP) packet to the gateway.…”

mentioning

confidence: 99%

Multi-Hop LoRa Network Protocol with Minimized Latency

Loc

Kim

2020

Energies

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LoRa (Long Range) is a long-range communications capacity with chirp spread spectrum modulation. It has been developed for Internet of Things (IoT) applications for long-distance and low power consumption. Some authors proposed LoRa protocols such as LoRaWAN, LoRaBlink, DQ-LoRa and the multi-hop LoRa network with linear topology; however, these protocols have disadvantages. In this paper, we propose a minimized latency multi-hop LoRa network protocol that is collision-free with low latency to improve on the disadvantages. First, in the proposed protocol, tree topology is constructed by exchanging packets between LoRa nodes and the sink node. During this period, a timeslot and channel are assigned to each tree link, over which LoRa nodes communicate with their parent node and which is collision-free with its neighbor nodes. After the tree construction period, LoRa nodes start data transmission using the timeslot and channel that they have already been assigned to in the tree construction period. We developed the proposed protocol in a LoRa node prototype using the MultiTech mDot module, and we conducted experiments at Ulsan University. The results show that the proposed protocol provides high reliability, parallel transmissions, a minimized number of timeslots assigned for all the links in the network, a minimized packet size, and low latency.

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Traditional Sensor Networks/IoT Services

2021

High‐Density and De‐Densified Smart Campus Communications

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Distributed Queueing-Based Random Access Protocol for LoRa Networks

Cited by 39 publications

References 23 publications

Statistical Analysis of a Distributed Queuing Random Access Protocol in a Massive Communication Environment

Statistical Analysis of a Distributed Queuing Random Access Protocol in a Massive Communication Environment

Multi-Hop LoRa Network Protocol with Minimized Latency

Traditional Sensor Networks/IoT Services

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