Simulation Module and Tools for XDense Sensor Network

XDense is a novel wired 2D-mesh grid sensor network system for application scenarios that beneit from densely deployed sensing (e.g. thousands of sensors per square meter). It was conceived for cyber-physical systems (CPS) that require real-time sensing and actuation, like active low control (AFC) on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed to enable complex feature extraction within bounded time and in a responsive manner. In this paper we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traic shaping heuristics to guarantee bounded communication delays and the fulillment of memory requirements. We evaluate the model for varied network conigurations and workload, and present a comparative performance analysis in terms of on link utilization, queue size and execution time. With the proposed traic shaping heuristics, we endow XDense with the capabilities required for real-time applications.

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“…One way to do this is to measure delays on real hardware and incorporate it. We have already made some progress along these lines [21].…”

Section: Discussionmentioning

confidence: 99%

Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping

Loureiro

Rangarajan

Nikolic

et al. 2019

ACM Trans. Cyber-Phys. Syst.

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show abstract

“…One way to do this is to measure delays on real hardware and incorporate it. We have already made some progress along these lines [24].…”

Section: Discussionmentioning

confidence: 99%

“…As seen in Figure 6(c) and (d), smaller clusters yield a better utilization of the input links of the sink. This is because the number of packets sent to the sink does not depend on 3 More details on the implementation of our simulator can be found in [24] : Link utilization computed for our three traffic shaping heuristics against the Link utilization measured during simulation (we display here only the results for the phases φ 3 and φ 4 and for n radius set to 1 and 5).…”

Section: A Maximum Queue Sizementioning

confidence: 99%

Real-time dense wired sensor network based on traffic shaping

Loureiro

Rangarajan

Nikolic

et al. 2017

2017 IEEE 23rd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

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XDense is a novel wired 2D-mesh grid sensor network system for application scenarios that benefit from denselydeployed sensing (e.g. thousands of sensors per square meter). Itwas conceived for closed-loop cyberphysical systems (CPS) thatrequire real-time actuation, like active flow control (AFC) onaircraft wing surfaces. XDense communication and distributedprocessing capabilities are designed such that they enable toextract complex features within bounded time and in a responsivemanner. In this paper we tackle the issue of deterministic behaviorof XDense. We present a methodology that uses traffic shapingheuristics to guarantee bounded communication delays and thefulfillment of memory requirements. We evaluate the model forvaried network configurations and workload, and demonstratethe effectiveness of running real-time applications supported onXDense. Abstract-XDense is a novel wired 2D-mesh grid sensor network system for application scenarios that benefit from densely deployed sensing (e.g. thousands of sensors per square meter). It was conceived for closed-loop cyber-physical systems (CPS) that require real-time actuation, like active flow control (AFC) on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed such that they enable to extract complex features within bounded time and in a responsive manner. In this paper we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traffic shaping heuristics to guarantee bounded communication delays and the fulfillment of memory requirements. We evaluate the model for varied network configurations and workload, and demonstrate the effectiveness of running real-time applications supported on XDense.

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Simulation Module and Tools for XDense Sensor Network

Cited by 2 publications

References 12 publications

Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping

Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping

Real-time dense wired sensor network based on traffic shaping

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