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IEEE/ACM Transactions on Networking (TON)
Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
ATPC: adaptive transmission power control for wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Ultra-low duty cycle MAC with scheduled channel polling
Proceedings of the 4th international conference on Embedded networked sensor systems
802.11 Wireless Networks: The Definitive Guide, Second Edition
802.11 Wireless Networks: The Definitive Guide, Second Edition
Data forwarding in extremely low duty-cycle sensor networks with unreliable communication links
Proceedings of the 5th international conference on Embedded networked sensor systems
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Passive diagnosis for wireless sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Underground coal mine monitoring with wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Opportunistic flooding in low-duty-cycle wireless sensor networks with unreliable links
Proceedings of the 15th annual international conference on Mobile computing and networking
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
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It is a new challenge to provide priority-based delivery in low duty-cycled sensor networks where there are not always-awake communication paths and the wireless links are very time-varying and unreliable. In this paper, we propose a Dynamic Routing Algorithm for priority Guarantee(called DRAG) in low duty-cycled sensor networks. Both schemes of dynamic forwarding decision making and priority-based schedule are used in DRAG to achieve priority guarantee in low dutycycled sensor networks. We evaluate DRAG via extensive simulations and the results show that DRAG can achieve good performance in delivery ratio and network delay.