A survey of link quality properties related to transmission power control protocols in wireless sensor networks

Hughes, Jack Bryan; Lazaridis, Pavlos I.; Glover, Ian; Ball, Andrew

doi:10.23919/iconac.2017.8082064

Cited by 8 publications

(5 citation statements)

References 19 publications

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“…In wireless communication, transmission power is a major factor for power consumption. A method called TPC minimizes the transmission power as possible when the communication quality can be maintained [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. If the environment is better, TPC can achieve more power-saving effects.…”

Section: Related Researchmentioning

confidence: 99%

A Low-Power WSN Protocol with ADR and TP Hybrid Control

Hung

Zhang

Hsu

et al. 2020

Sensors

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Most Internet of Things (IoT) systems are based on the wireless sensor network (WSN) due to the reduction of the cable layout cost. However, the battery life of nodes is a key issue when the node is powered by a battery. A Low-Power WSN Protocol with ADR and TP Hybrid Control is proposed in this paper to improve battery life significantly. Besides, techniques including the Sub-1GHz star topology network with Time Division Multiple Access (TDMA), adaptive data rate (ADR), and transmission power control (TPC) are also used. The long-term testing results show that the nodes with the proposed algorithm can balance the communication quality and low power consumption simultaneously. The experimental results also show that the power consumption of the node with the algorithm was reduced by 38.46-54.44% compared with the control group. If using AAA battery with 1200 mAh, the node could run approximately 4.2 years with the proposed hybrid control algorithm with an acquisition period of under 5 s.

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Section: Related Researchmentioning

confidence: 99%

A Low-Power WSN Protocol with ADR and TP Hybrid Control

Hung

Zhang

Hsu

et al. 2020

Sensors

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“…Even though various SR schemes have been widely studied for wireless networks [10][11][12], only the usage of TPC is so far standardised by IEEE 802.11h-2003. In particular, IEEE 802.11h-2003 defines the rules for the maximum transmit power in a region.…”

Section: Spatial Reuse In Ieee 80211axmentioning

confidence: 99%

Damysus: A Practical IEEE 802.11ax BSS Color Aware Rate Control Algorithm

Selinis

Κατσαρός

Vahid

et al. 2019

Int J Wireless Inf Networks

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Institute of Electrical and Electronics Engineers (IEEE) 802.11ax Spatial Reuse (SR) is a new feature in the IEEE 802.11 family, aiming at improving the spectrum efficiency and the network performance in dense deployments. The main and perhaps the only SR technique in that amendment is the Basic Service Set (BSS) Color. It aims at increasing the number of concurrent transmissions in a specific area, based on a newly defined Overlapping BSS/Preamble-Detection threshold. In this paper, we overview the latest developments introduced in the IEEE 802.11ax for the SR and propose a rate control algorithm developed to exploit the BSS Color scheme. Our proposed algorithm, Damysus is specifically designed to function in dense environments where other off-the-shelf algorithms show poor performance. Simulation results in various dense scenarios, show a clear performance improvement of up to 113% gain in throughput over the well known MinstrelHT algorithm.

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“…In wireless multi-hop networks, the performance of higherlayer applications, such as routing, power control and energy consumption [1,2], relies heavily on the high accuracy of LQ prediction. Routing protocols for example, if the LQ is obtained before making routing decision, the weak connections are eliminated and the stability and robustness are improved.…”

Section: Introductionmentioning

confidence: 99%

On the randomness analysis of link quality prediction: limitations and benefits

Shi

Wenxing

2022

Preprint

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In wireless multi-hop networks, such as wireless sensor networks, link quality (LQ) is one of the most important metrics and is widely used in higher-layer applications such as routing protocols. An accurate link quality prediction may greatly help to improve the performance of wireless multi-hop networks. Researchers have proposed a lot of link quality prediction models in recent years. However, due to the dynamic and stochastic nature of wireless transmission, the performance of link quality prediction remains challenging. In this article, we mainly analyze the influence of stochastic nature of wireless transmission on link quality prediction model and discuss the benefits in the application of wireless multi-hop networks with the performance- limited link quality prediction models.

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A survey of link quality properties related to transmission power control protocols in wireless sensor networks

Cited by 8 publications

References 19 publications

A Low-Power WSN Protocol with ADR and TP Hybrid Control

A Low-Power WSN Protocol with ADR and TP Hybrid Control

Damysus: A Practical IEEE 802.11ax BSS Color Aware Rate Control Algorithm

On the randomness analysis of link quality prediction: limitations and benefits

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