Adaptive Learning and Reconfiguration in Wireless Sensor Actuator Networks for Control Applications

Daniel Nnaemeka Nkwogu, Alastair Robert Allen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

WSANs are becoming a solution for implementation of control applications. Sensors and actuators can be deployed forming a large or dense network to monitor and control physical parameters or systems. Reliable data transmission and real time constraints are the most significant challenges in WSAN implementation for control applications in addition to basic challenges such as scalability, network topology, energy efficiency and connectivity. Control applications will have some Quality of Service (QoS) requirements from the sensor network, such as requiring a very low packet loss rate, minimum delay and guaranteed delivery of packets. An in-depth review of previous research to date in the area of reliability and real time implementation for WSANs was carried out and a novel routing technique is proposed to improve reliable and real time communication within the sensor network based on a link quality aware and minimum path length routing mechanism. The success of this research will go a long way to address reliability issues relating to guaranteed data delivery within the wireless network, thereby potentially moving WSAN’s for critical control applications on a path to wireless implementation.
Original languageEnglish
Title of host publicationProceedings of the 12th Annual PostGraduate Symposium on the convergence of Telecommunications, Networking and Broadcasting
EditorsMadjid Merabti, Omar Abuelmaatti
PublisherLiverpool John Moores University
Pages321-326
Number of pages6
ISBN (Print)978-1-902560-25-0
Publication statusPublished - 2011

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Actuators
Sensors
Sensor networks
Packet loss
Data communication systems
Energy efficiency
Scalability
Wireless networks
Quality of service
Topology
Communication

Keywords

  • WSAN; WSN; Zigbee; LQAR; HTR; QoS; WPAN

Cite this

Nkwogu, D. N., & Allen, A. R. (2011). Adaptive Learning and Reconfiguration in Wireless Sensor Actuator Networks for Control Applications. In M. Merabti, & O. Abuelmaatti (Eds.), Proceedings of the 12th Annual PostGraduate Symposium on the convergence of Telecommunications, Networking and Broadcasting (pp. 321-326). Liverpool John Moores University.

Adaptive Learning and Reconfiguration in Wireless Sensor Actuator Networks for Control Applications. / Nkwogu, Daniel Nnaemeka; Allen, Alastair Robert.

Proceedings of the 12th Annual PostGraduate Symposium on the convergence of Telecommunications, Networking and Broadcasting. ed. / Madjid Merabti; Omar Abuelmaatti. Liverpool John Moores University, 2011. p. 321-326.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nkwogu, DN & Allen, AR 2011, Adaptive Learning and Reconfiguration in Wireless Sensor Actuator Networks for Control Applications. in M Merabti & O Abuelmaatti (eds), Proceedings of the 12th Annual PostGraduate Symposium on the convergence of Telecommunications, Networking and Broadcasting. Liverpool John Moores University, pp. 321-326.
Nkwogu DN, Allen AR. Adaptive Learning and Reconfiguration in Wireless Sensor Actuator Networks for Control Applications. In Merabti M, Abuelmaatti O, editors, Proceedings of the 12th Annual PostGraduate Symposium on the convergence of Telecommunications, Networking and Broadcasting. Liverpool John Moores University. 2011. p. 321-326
Nkwogu, Daniel Nnaemeka ; Allen, Alastair Robert. / Adaptive Learning and Reconfiguration in Wireless Sensor Actuator Networks for Control Applications. Proceedings of the 12th Annual PostGraduate Symposium on the convergence of Telecommunications, Networking and Broadcasting. editor / Madjid Merabti ; Omar Abuelmaatti. Liverpool John Moores University, 2011. pp. 321-326
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