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DAC '98 Proceedings of the 35th annual Design Automation Conference
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ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
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ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
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ACM Transactions on Embedded Computing Systems (TECS)
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Wireless Networks
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
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NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
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In this paper we use a large dataset of wireless user activity traces to test the various dynamic power management schemes. We also present and test our own empirically-driven dynamic power-saving algorithms, which are based on prior observations of user activity patterns. We believe that this sort of analysis can guide adoption of a user-behavior driven approach to radio and communications power management, and, in networking-centric devices, power management for the entire device. Additionally, understanding the characteristics of user-activity and efficient mechanisms to predict this activity can help inform the design of power-saving schemes for future networking protocols.