Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Flexible power scheduling for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Proceedings of the seventeenth annual ACM symposium on Parallelism in algorithms and architectures
Proceedings of the 3rd international conference on Embedded networked sensor systems
Understanding the real behavior of Mote and 802.11 ad hoc networks: an experimental approach
Pervasive and Mobile Computing
Energy conservation in wireless sensor networks: A survey
Ad Hoc Networks
Power saving medium access for beacon-enabled IEEE 802.15.4 LR-WPANs
Proceedings of the 2007 conference on Human interface: Part II
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Energy conservation in wireless sensor networks is a critical issue. An efficient method to reduce power consumption consists in powering off the nodes' wireless transceiver when communication is not needed. Under this approach sleep/wakeup schedules of different nodes have to be synchronized. In addition, during the sleep phases nodes cannot communicate, and this might result in high delay. In this paper we introduce an adaptive and low latency power-management protocol based on sleep/wakeup schedules. The protocol is well suited for data collection applications in which sensors have to periodically report to a sink. It staggers the schedules of the nodes, in order to minimize the delay. One major advantage of this protocol is that the schedules are automatically adapted based on the network congestion and on the application traffic demand, so that the network can operate efficiently and completely unattended even in very dynamic conditions. Simulation results show that our power management protocol effectively reacts to traffic and topology variations, without scarifying performance in terms of energy consumption, delivery ratio and delay. Furthermore it achieves lower energy consumption, collision ratio and delay than commonly adopted fixed sleep/wakeup schemes.