TY - GEN
T1 - A Middleware-Based Approach to the Design of Interconnected Sensor/Actuator Networks
AU - Shaeffer, James
AU - Knapp, Jonathan D.
AU - Miller, Matt
AU - Flikkema, Paul G.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/15
Y1 - 2014/9/15
N2 - Sensor/actuator networks are becoming hierarchical, with wireless ad hoc networks interconnected via infrastructured wireless (e.g. the cellular network) and the Internet. This trend is being driven by new application domains such as cyber-ecological systems. In these systems, sensor/actuator networks and data centers form a geographically-distributed closed-loop system capable of near real-time sensing and actuation of the physical environment. To manage the complexity of this interconnected sensor/actuator network system, we describe the use of Data Turbine streaming middleware. Data Turbine enables management of real-time streaming data and provides persistent local storage for resilience to unreliable links. Here, we discuss Data Turbine's use in interconnected real-time sensor/actuator networks for closed-loop control scenarios. We describe how sensor/actuator networks and distributed real-time data centers can be interconnected with Java client applications using the Data Turbine API to accomplish closed-loop sensing, inference, control, and actuation in a test-bed cyber-ecological system, as well as discussing challenges and future work.
AB - Sensor/actuator networks are becoming hierarchical, with wireless ad hoc networks interconnected via infrastructured wireless (e.g. the cellular network) and the Internet. This trend is being driven by new application domains such as cyber-ecological systems. In these systems, sensor/actuator networks and data centers form a geographically-distributed closed-loop system capable of near real-time sensing and actuation of the physical environment. To manage the complexity of this interconnected sensor/actuator network system, we describe the use of Data Turbine streaming middleware. Data Turbine enables management of real-time streaming data and provides persistent local storage for resilience to unreliable links. Here, we discuss Data Turbine's use in interconnected real-time sensor/actuator networks for closed-loop control scenarios. We describe how sensor/actuator networks and distributed real-time data centers can be interconnected with Java client applications using the Data Turbine API to accomplish closed-loop sensing, inference, control, and actuation in a test-bed cyber-ecological system, as well as discussing challenges and future work.
UR - http://www.scopus.com/inward/record.url?scp=84941312452&partnerID=8YFLogxK
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U2 - 10.1109/ISORC.2014.52
DO - 10.1109/ISORC.2014.52
M3 - Conference contribution
AN - SCOPUS:84941312452
T3 - Proceedings - IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2014
SP - 391
EP - 396
BT - Proceedings - IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2014
Y2 - 9 June 2014 through 12 June 2014
ER -