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

TY - JOUR

T1 - Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping

AU - Loureiro, Joao

AU - Rangarajan, Raghuraman

AU - Nikolic, Borislav

AU - Soares Indrusiak, Leandro

AU - Tovar, Eduardo

N1 - © 2019 Association for Computing Machinery. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - 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 cyber-physical systems that require real-time sensing and actuation, like active flow control 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 article, 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 present a comparative performance analysis in terms of link utilization, queue size, and execution time. With the proposed traffic-shaping heuristics, we endow XDense with the capabilities required for real-time applications.

AB - 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 cyber-physical systems that require real-time sensing and actuation, like active flow control 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 article, 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 present a comparative performance analysis in terms of link utilization, queue size, and execution time. With the proposed traffic-shaping heuristics, we endow XDense with the capabilities required for real-time applications.

U2 - 10.1145/3230872

DO - 10.1145/3230872

M3 - Article

SN - 2378-962X

VL - 3

JO - ACM Transactions on Cyber-Physical Systems

JF - ACM Transactions on Cyber-Physical Systems

IS - 3

M1 - 27

ER -