CPM: Context-Aware Power Management in WLANs

Abstract

In this paper, we present a novel approach for tun-ing power modes of wireless 802.11 interfaces. We use K-means and simple correlation techniques to ana-lyze user’s interaction with applications based on mouse clicks. This provides valuable contextual hints that are used to anticipate future network access patterns and intent of users. Based on those hints, we adapt the power mode of the wireless network interface to opti-mize both energy usage and bandwidth usage. Eval-uation results (based on real data gathered from inter-action with a desktop) show significant improvements over earlier power management schemes.

Cite

Text

Albinali and Gniady. "CPM: Context-Aware Power Management in WLANs." AAAI Conference on Artificial Intelligence, 2006.

Markdown

[Albinali and Gniady. "CPM: Context-Aware Power Management in WLANs." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/albinali2006aaai-cpm/)

BibTeX

@inproceedings{albinali2006aaai-cpm,
  title     = {{CPM: Context-Aware Power Management in WLANs}},
  author    = {Albinali, Fahd and Gniady, Chris},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2006},
  pages     = {1745-1750},
  url       = {https://mlanthology.org/aaai/2006/albinali2006aaai-cpm/}
}