Scheduling with predictable link reliability for wireless networked control

Zhang, Hongwei; Liu, Xiaohui; Li, Chuan; Chen, Yu; Che, Xin; Feng, Lin; Wang, Le Yi; Yin, George

doi:10.1109/iwqos.2015.7404753

Cited by 17 publications

(41 citation statements)

References 36 publications

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“…The protocol model is local and suitable for distributed protocol design, but it is inaccurate and does not ensure reliable data delivery [17]. The physical model has high-fidelity, but it is non-local and combinatorial and thus not suitable for distributed protocol design in dynamic, uncertain network settings [28], [29]. To bridge the gap between the existing interference models and the design of distributed, field-deployable scheduling protocols with predictable communication reliability, Zhang et.…”

Section: Prk Interference Model and Prksmentioning

confidence: 99%

“…Through extensive measurement study in the high-fidelity Indriya [4] and NetEye [8] wireless network testbeds, Zhang et. al [29] observe that PRKS enables predictable interference control while achieving high channel spatial reuse. Accordingly, PRKS enables predictable link reliability, high network throughput, and low communication delay [29].…”

Section: Prk Interference Model and Prksmentioning

confidence: 99%

“…al [29] observe that PRKS enables predictable interference control while achieving high channel spatial reuse. Accordingly, PRKS enables predictable link reliability, high network throughput, and low communication delay [29].…”

Section: Prk Interference Model and Prksmentioning

confidence: 99%

“…The rest of the paper is organized as follows. In Section II, we present the system model and problem specification, and we review the PRK interference model [28] and PRKS scheduling protocol [29]. We give an overview of the CPS framework in Section III, and then we present our approaches to addressing vehicle mobility in Sections IV.…”

mentioning

confidence: 99%

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Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications

Li¹,

Zhang

et al. 2020

IEEE Trans. Veh. Technol.

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Predictable inter-vehicle communication reliability is a basis for the paradigm shift from the traditional singlevehicle-oriented safety and efficiency control to networked vehicle control. The lack of predictable interference control in existing mechanisms of inter-vehicle communications, however, makes them incapable of ensuring predictable communication reliability. For predictable interference control, we propose the Cyber-Physical Scheduling (CPS) framework that leverages the PRK interference model and addresses the challenges of vehicle mobility to PRK-based scheduling. In particular, CPS leverage physical locations of vehicles to define the gPRK interference model, a geometric approximation of the PRK model, for effective interference relation estimation, and CPS leverages cyber-physical structures of vehicle traffic flows (particularly, spatiotemporal interference correlation as well as macro-and micro-scopic vehicle dynamics) for effective use of the gPRK model. Through experimental analysis with high-fidelity ns-3 and SUMO simulation, we observe that CPS enables predictable reliability while achieving high throughput and low delay in communication. To the best of our knowledge, CPS is the first field-deployable method that ensures predictable interference control and thus reliability in inter-vehicle communications.

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Section: Prk Interference Model and Prksmentioning

confidence: 99%

Section: Prk Interference Model and Prksmentioning

confidence: 99%

Section: Prk Interference Model and Prksmentioning

confidence: 99%

mentioning

confidence: 99%

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Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications

Li¹,

Zhang

et al. 2020

IEEE Trans. Veh. Technol.

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“…The results, such as response time for different scheduling algorithms with fixed deadlines and varying query rates, have been evaluated and compared. Zhang et al [20] have proposed scheduling with predictable link reliability for wireless networked control. Such a solution is required for wireless networked control, yet co-channel interference remains a major source of uncertainty in wireless link reliability.…”

Section: Related Workmentioning

confidence: 99%

The Alive-in-Range Medium Access Control Protocol to Optimize Queue Performance in Underwater Wireless Sensor Networks

Raina¹,

Jha²,

Bhattacharya³

2017

JTIT

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Abstract-Time synchronization between sensor nodes to reduce the end-to-end delay for critical and real time data monitoring can be achieved by cautiously monitoring the mobility of the mobile sink node in underwater wireless sensor networks. The Alive-in-Range Medium Access Control (AR-MAC) protocol monitors the delay of sensitive, critical and real-time data. The idea evolves as it involves reduction in duty cycle, precise time scheduling of active/sleep cycles of the sensors, monitoring the mobility of the sink node with the selection of appropriate queues and schedulers. The model for the path loss due to attenuation of electromagnetic wave propagation in the sea water is explained. The three-path reflection model evaluating reflection loss from the air-water and watersand interfaces as a function of distance between sensors and water depth is introduced. The algorithms for effective path determination and optimum throughput path determination are elaborated. The results verify that implementation of the Alive-in-Range MAC protocol has reduced the total number of packets dropped, the average queue length, the longest time in queue, the peak queue length and the average time in queue significantly, making it relevant for critical and real-time data monitoring.Keywords-Alive-in-Range MAC, effective path determination, mobile sink, optimum throughput path determination, underwater wireless sensor network.

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Trustworthy Foundation for CAVs in an Uncertain World: From Wireless Networking, Sensing, and Control to Software-Defined Infrastructure

Zhang

Wang

Yin

et al. 2016

Road Vehicle Automation 3

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Scheduling with predictable link reliability for wireless networked control

Cited by 17 publications

References 36 publications

Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications

Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications

The Alive-in-Range Medium Access Control Protocol to Optimize Queue Performance in Underwater Wireless Sensor Networks

Trustworthy Foundation for CAVs in an Uncertain World: From Wireless Networking, Sensing, and Control to Software-Defined Infrastructure

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