Adopting IEEE 802.11 MAC for industrial delay-sensitive wireless control and monitoring applications: A survey

Cheng, Yujun; Yang, Dong; Zhou, Huachun; Wang, Hongchao

doi:10.1016/j.comnet.2019.04.002

Cited by 26 publications

(16 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [ 14 ], the authors provide an interesting survey that addresses the timeliness of the IEEE 802.11 MAC mechanisms. Another survey is given by [ 10 ], where the authors focus more specifically on the deployment of Wi-Fi for time critical and reliable industrial control applications.…”

Section: Related Work and Contributionmentioning

confidence: 99%

The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems

Fedullo

Tramarin

Vitturi

2020

Sensors

View full text Add to dashboard Cite

Factory automation systems based on the IEEE 802.11 Wi-Fi standard may benefit from its Multi-Rate Support (MRS) feature, which allows for dynamically selecting the most suitable transmission rate for the targeted application context. The MRS is implemented by means of rate adaptation algorithms (RAAs), which has already demonstrated to be effective to improve both timeliness and reliability, which are typically strict requirements of industrial real-time communication systems. Indeed, some of such algorithms have been specifically conceived for reliable real-time communications. However, the computational complexity of such algorithms has not been effectively investigated yet. In this paper, we address such an issue, particularly focusing on the execution times of some specific rate adaptation algorithms, as well as on their impact on the automation tasks. In this respect, after a formal description of the algorithms, we present the outcomes of an extensive experimental session, which includes practical measurements and realistic simulations. The obtained results are encouraging, since the measured execution times indicate that rate adaptation algorithms can be profitably adopted by industrial automation systems, allowing for improving their reliability and timeliness without impacting on the overall performance.

show abstract

Section: Related Work and Contributionmentioning

confidence: 99%

The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems

Fedullo

Tramarin

Vitturi

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…In order to estimate the current competing station number, we get inspiration from equation (7). If we measure the collision probability p, we can calculate the number of stations n by equation (7). Luckily, p can be simply measured by monitoring the channel state for each station.…”

Section: Channel-state Estimation With Extended Kalman Filtermentioning

confidence: 99%

“…Wireless local area networks (WLANs) have become the most popular and widely deployed networks. Thus, it is a good candidate for different industrial wireless applications with various requirements [6,7]. In 2016, a new Wi-Fi standard named IEEE 802.11ah was released [8], which targets low-power and large-scale Internet of Things (IoT) network scenarios, including industrial IoT.…”

Section: Introductionmentioning

confidence: 99%

RO-RAW: Run-Time Restricted Access Window Optimization in IEEE 802.11ah Network with Extended Kalman Filter

Liu

2020

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In 2016, the IEEE task group ah (TGah) published a new standard IEEE 802.11ah, aimed at providing network connectivity among a large number of Internet of Things (IoT) devices. Restricted access window (RAW) is one of the fundamental MAC mechanisms of IEEE 802.11ah. It reduces the contention overhead in the dense wireless environment by dividing stations into different RAW groups. However, how to optimize the RAW parameters is still an open issue, especially in the run-time environment. In this paper, we propose a run-time RAW optimization scheme, namely RO-RAW, to improve the performance of RAW in the IEEE 802.11ah networks. RO-RAW adopts the Extended Kalman Filter method to estimate the channel status and adjusts the RAW parameters according to the number of competing stations in real-time. The evaluation via NS-3 simulations shows that, by tuning the RAW parameters appropriately, RO-RAW substantially improves throughput, latency, and packet loss performance compared with another RAW optimization scheme in different simulation scenarios. The results further show that, when the channel is relatively congested, RO-RAW improves the RAW performance more significantly.

show abstract

“…In the widely-implemented contention-based protocols, packet collisions are the main reason for data throughput degradation. In addition, channel access delay is considered as a major factor for many IoT use case scenarios such as smart automotive systems, smart healthcare systems, smart monitoring and tracking systems, in which these time-sensitive applications are necessarily in need with ultra-low delay wireless network services [4]. IEEE 802.11 is an efficient candidate to promise good QoS in various environments, whether indoor or outdoor, thereby the lately released standard of IEEE 802.11ah (or WiFi HaLow) is selected to be the technology that serves under IoT circumstances.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network

et al. 2020

View full text Add to dashboard Cite

The IEEE 802.11ah standard relies on the conventional distributed coordination function (DCF) as a backoff selection method. The DCF is utilized in the contention-based period of the newly introduced medium access control (MAC) mechanism, namely restricted access window (RAW). Despite various advantages of RAW, DCF still utilizes the legacy binary exponential backoff (BEB) algorithm, which suffers from a crucial disadvantage of being prone to high probability of collisions with high number of contending stations. To mitigate this issue, this paper investigates the possibility of replacing the existing exponential sequence (i.e., as in BEB) with a better pseudorandom sequence of integers. In particular, a new backoff algorithm, namely Pseudorandom Sequence Contention Algorithm (PRSCA) is proposed to update the CW size and minimize the collision probability. In addition, the proposed PRSCA incorporates a different approach of CW freezing mechanism and backoff stage reset process. An analytical model is derived for the proposed PRSCA and presented through a discrete 2-D Markov chain model. Performance evaluation demonstrates the efficiency of the proposed PRSCA in reducing collision probability and improving saturation throughput, network throughput, and access delay performance.

show abstract

Adopting IEEE 802.11 MAC for industrial delay-sensitive wireless control and monitoring applications: A survey

Cited by 26 publications

References 84 publications

The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems

The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems

RO-RAW: Run-Time Restricted Access Window Optimization in IEEE 802.11ah Network with Extended Kalman Filter

Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network

Contact Info

Product

Resources

About