Modeling and performance evaluation of the IEEE 802.15.4e LLDN mechanism designed for industrial applications in WSNs

Ouanteur, Celia; Aı̈ssani, Djamil; Bouallouche-Medjkoune, Louiza; Yazid, Mohand; Castel-Taleb, Hind

doi:10.1007/s11276-016-1226-y

Cited by 21 publications

(8 citation statements)

References 31 publications

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“…Low Latency Deterministic Network: LLDN is designed for very low latency applications of the industrial automation where a large number of devices sense and actuate the factory production in a specific location [116]. Differently from TSCH and DSME, LLDN is designed only for star topologies, where a number of nodes need to periodically send data to a central sink using just one channel frequency.…”

Section: A Standardizationmentioning

confidence: 99%

Wireless Network Design for Control Systems: A Survey

Park

Coleri

Fischione

et al. 2018

IEEE Commun. Surv. Tutorials

399

280

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Abstract-Wireless networked control systems (WNCS) are composed of spatially distributed sensors, actuators, and controllers communicating through wireless networks instead of conventional point-to-point wired connections. Due to their main benefits in the reduction of deployment and maintenance costs, large flexibility and possible enhancement of safety, WNCS are becoming a fundamental infrastructure technology for critical control systems in automotive electrical systems, avionics control systems, building management systems, and industrial automation systems. The main challenge in WNCS is to jointly design the communication and control systems considering their tight interaction to improve the control performance and the network lifetime. In this survey, we make an exhaustive review of the literature on wireless network design and optimization for WNCS. First, we discuss what we call the critical interactive variables including sampling period, message delay, message dropout, and network energy consumption. The mutual effects of these communication and control variables motivate their joint tuning. We discuss the effect of controllable wireless network parameters at all layers of the communication protocols on the probability distribution of these interactive variables. We also review the current wireless network standardization for WNCS and their corresponding methodology for adapting the network parameters. Moreover, we discuss the analysis and design of control systems taking into account the effect of the interactive variables on the control system performance. Finally, we present the state-of-the-art wireless network design and optimization for WNCS, while highlighting the tradeoff between the achievable performance and complexity of various approaches. We conclude the survey by highlighting major research issues and identifying future research directions.

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Section: A Standardizationmentioning

confidence: 99%

Wireless Network Design for Control Systems: A Survey

Park

Coleri

Fischione

et al. 2018

IEEE Commun. Surv. Tutorials

399

280

View full text Add to dashboard Cite

show abstract

“…A three-dimensional Markov chain model is proposed in [ 30 ], which is applied to analyze the network performance under burst channel errors. Comparative studies between IEEE 802.15.4e LLDN and IEEE 802.15.4 slotted CSMA/CA have been analyzed in [ 31 ] under the ideal channel condition, which is not realistic. In [ 32 ], the authors evaluate the impact of losing synchronization under the beacon-enabled star topology of the IEEE 802.15.4 network.…”

Section: Related Workmentioning

confidence: 99%

Design and Analysis of a Low Latency Deterministic Network MAC for Wireless Sensor Networks

Sahoo

Pattanaik

2017

Sensors

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The IEEE 802.15.4e standard has four different superframe structures for different applications. Use of a low latency deterministic network (LLDN) superframe for the wireless sensor network is one of them, which can operate in a star topology. In this paper, a new channel access mechanism for IEEE 802.15.4e-based LLDN shared slots is proposed, and analytical models are designed based on this channel access mechanism. A prediction model is designed to estimate the possible number of retransmission slots based on the number of failed transmissions. Performance analysis in terms of data transmission reliability, delay, throughput and energy consumption are provided based on our proposed designs. Our designs are validated for simulation and analytical results, and it is observed that the simulation results well match with the analytical ones. Besides, our designs are compared with the IEEE 802.15.4 MAC mechanism, and it is shown that ours outperforms in terms of throughput, energy consumption, delay and reliability.

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“…Web content can be cached on the client, proxy, and server side. The practical application shows that the cache technology can significantly improve the network performance mainly in the following aspects [8][9][10]:…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Low Delay Deterministic Network Based on Data Mining Association Analysis

Gong

2021

JWE

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The purpose of this paper is to research on the design and analysis of low delay deterministic network based on data mining association. This paper studies and implements the algorithm of mining page association rules. A session recognition algorithm based on log reference page and request time is proposed by using the time probability relationship of continuous requests. This method improves the accuracy of log data preprocessing and page association rules mining. This paper studies and tests the efficiency, prefetch timing and cache organization of the two page association rules. The results show that in this prefetch scheme, the prefetch performance of the association rules of unordered pages is better than that of the association rules of ordered pages. The prefetch performance when cache hits is better than that when cache fails and the cache fails to hit has better performance. In the case of a certain size of cache space, reasonable organization of cache space can further improve the cache hit rate and reduce the network delay.

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Modeling and performance evaluation of the IEEE 802.15.4e LLDN mechanism designed for industrial applications in WSNs

Cited by 21 publications

References 31 publications

Wireless Network Design for Control Systems: A Survey

Wireless Network Design for Control Systems: A Survey

Design and Analysis of a Low Latency Deterministic Network MAC for Wireless Sensor Networks

Design and Analysis of Low Delay Deterministic Network Based on Data Mining Association Analysis

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