TY - GEN
T1 - Middleware Support for Dynamic Sensing Applications
AU - Man, Ka Lok
AU - Hughes, Danny
AU - Guan, Sheng Uei
AU - Wong, Prudence W.H.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/19
Y1 - 2016/4/19
N2 - Sensing systems are moving out of the laboratory and into the real world, where they are being applied in a growing range of application scenarios. In order to increase effectiveness and efficacy as well as the return on investment, sensor systems must increasingly become easily reconfigurable and adjustable, in order to support system evolution and optimization. Currently, software technologies for Wireless Sensor Networks (WSNs) lack the feature of dynamic sensing. This proposed project tackles the critical problem of developing software technologies and specifically middleware support that reduces the complexity of developing and managing dynamic sensing systems. Achieving this vision within the resource constraints of contemporary systems requires a radical rethinking of classic middleware design and the development of a suite of efficient supporting tools. This paper presents our on-going research which focuses on enhancing the component model along with features of dynamic sensing, with innovative components implemented based on the middleware platform LooCI (The Loosely-coupled Component Infrastructure), which has gained widespread popularity. Technological outcomes of this research will be validated in the domain of logistics, but their applications can be extended to various industrial areas.
AB - Sensing systems are moving out of the laboratory and into the real world, where they are being applied in a growing range of application scenarios. In order to increase effectiveness and efficacy as well as the return on investment, sensor systems must increasingly become easily reconfigurable and adjustable, in order to support system evolution and optimization. Currently, software technologies for Wireless Sensor Networks (WSNs) lack the feature of dynamic sensing. This proposed project tackles the critical problem of developing software technologies and specifically middleware support that reduces the complexity of developing and managing dynamic sensing systems. Achieving this vision within the resource constraints of contemporary systems requires a radical rethinking of classic middleware design and the development of a suite of efficient supporting tools. This paper presents our on-going research which focuses on enhancing the component model along with features of dynamic sensing, with innovative components implemented based on the middleware platform LooCI (The Loosely-coupled Component Infrastructure), which has gained widespread popularity. Technological outcomes of this research will be validated in the domain of logistics, but their applications can be extended to various industrial areas.
KW - dynamic sensing
KW - logistics and transportation
KW - middleware
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84968677728&partnerID=8YFLogxK
U2 - 10.1109/PlatCon.2016.7456807
DO - 10.1109/PlatCon.2016.7456807
M3 - Conference Proceeding
AN - SCOPUS:84968677728
T3 - 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings
BT - 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Platform Technology and Service, PlatCon 2016
Y2 - 15 February 2016 through 17 February 2016
ER -