Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks
RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
An Implicit Prioritized Access Protocol for Wireless Sensor Networks
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Energy-efficient collision-free medium access control for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Temporal properties of low power wireless links: modeling and implications on multi-hop routing
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Efficient Power Management Based on Application Timing Semantics for Wireless Sensor Networks
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
DRAND: distributed randomized TDMA scheduling for wireless ad-hoc networks
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
ATPC: adaptive transmission power control for wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Real-Time Traffic Management in Sensor Networks
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
A control theory approach to throughput optimization in multi-channel collection sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Maximally radio-disjoint multipath routing for wireless multimedia sensor networks
Proceedings of the 4th ACM workshop on Wireless multimedia networking and performance modeling
Dynamic Sleeping Algorithm Based on AHP for Wireless Sensor Networks
FGCN '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 02
Flow-Based Real-Time Communication in Multi-Channel Wireless Sensor Networks
EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Spatiotemporal Delay Control for Low-Duty-Cycle Sensor Networks
RTSS '09 Proceedings of the 2009 30th IEEE Real-Time Systems Symposium
Schedule Adaptation of Low-Power-Listening Protocols for Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Duty Cycle Control for Low-Power-Listening MAC Protocols
IEEE Transactions on Mobile Computing
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It is well known that periodically putting nodes into sleep can effectively save energy in wireless sensor networks at the cost of increased communication delays. However, most existing work mainly focuses on the static sleep scheduling, which cannot guarantee the desired delay when the network conditions change dynamically. In many applications with user-specified end-to-end delay requirements, the duty cycle of every node should be tuned individually at runtime based on the network conditions to achieve the desired end-to-end delay guarantees and energy efficiency. In this article, we propose DutyCon, a control theory-based dynamic duty-cycle control approach. DutyCon decomposes the end-to-end delay guarantee problem into a set of single-hop delay guarantee problems along each data flow in the network. We then formulate the single-hop delay guarantee problem as a dynamic feedback control problem and design the controller rigorously, based on feedback control theory, for analytic assurance of control accuracy and system stability. DutyCon also features a queuing delay adaptation scheme that adapts the duty cycle of each node to unpredictable incoming packet rates, as well as a novel energy-balancing approach that extends the network lifetime by dynamically adjusting the delay requirement allocated to each hop. Our empirical results on a hardware testbed demonstrate that DutyCon can effectively achieve the desired trade-off between end-to-end delay and energy conservation. Extensive simulation results also show that DutyCon outperforms two baseline sleep scheduling protocols by having more energy savings while meeting the end-to-end delay requirements.