Mobile power management for wireless communication networks
Wireless Networks
Modulation scaling for Energy Aware Communication Systems
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
A Survey of Energy Efficient Network Protocols for Wireless Networks
Wireless Networks
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Bluetooth and sensor networks: a reality check
Proceedings of the 1st international conference on Embedded networked sensor systems
Experience with a low power wireless mobile computing platform
Proceedings of the 2004 international symposium on Low power electronics and design
FSM--based power modeling of wireless protocols: the case of bluetooth
Proceedings of the 2004 international symposium on Low power electronics and design
Next-generation prototyping of sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
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Low power is a primary concern in the field of wireless sensor networks. Bluetooth has often been labeled as an inappropriate technology in this field due to its high power consumption. However, most Bluetooth studies employ rather over–simplified, fully theoretical, or inadequate power models. We present a power model of Bluetooth including scatternet configurations and low–power sniff mode and validate it experimentally on a real Bluetooth module. Based on this model, we introduce a power optimization framework employing MILP (Mixed–Integer Linear Programming) techniques, and devise optimal power management policies in the presence of end–to-end delay constraints. Our optimizations, if backed by power–aggressive hardware implementations, can make Bluetooth viable for a wider range of sensor networks.