Real-time wireless sensor networks
Real-time wireless sensor networks
Dwarf: delay-aware robust forwarding for energy-constrained wireless sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
BurstProbe: debugging time-critical data delivery in wireless sensor networks
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
Application-level operations latency control in networked WSAN
ADHOC-NOW'12 Proceedings of the 11th international conference on Ad-hoc, Mobile, and Wireless Networks
Proceedings of the 7th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Design of a MAC protocol for e-emergency WSNs
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
The GINSENG system for wireless monitoring and control: Design and deployment experiences
ACM Transactions on Sensor Networks (TOSN)
Configuration and operation of networked control systems over heterogeneous WSANs
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on ESTIMedia'10
Design and implementation of a single radio multi-channel MAC protocol on IEEE 802.15.4 for WBAN
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Wireless sensor networks mobility management using fuzzy logic
Ad Hoc Networks
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A number of wireless sensor network (WSN) applications demand timely data delivery. However, existing WSNs are designed to conserve energy and not to support timely data transmission. This paper shows how WSNs can be dimensioned, deployed and operated such that both reliable and timely data delivery is ensured while scarce energy is preserved. The presented solution employs a novel Medium Access Control (MAC) protocol that incorporates topology control mechanisms to ensure timely data delivery and reliability control mechanisms to deal with inherently fluctuating wireless links. An industrial process automation and control scenario at an oil refinery in Portugal is used to define protocol requirements. The paper details a TinyOS implementation of the protocol and its evaluation in a testbed. Under high traffic load, the protocol delivers 100% of data in time using a maximum node duty cycle as little as 2.48%. In an idle network a maximum node duty cycle of only 0.62% is achieved. This proposed protocol is thus an extremely energy efficient solution for time-critical data delivery.