Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Green WLANs: On-Demand WLAN Infrastructures
Mobile Networks and Applications
A simple analytical model for the energy-efficient activation of access points in dense WLANs
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Improved opportunistic sleeping algorithms for LAN switches
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Optimized network management for energy savings of wireless access networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Opportunistic power saving algorithms for Ethernet devices
Computer Networks: The International Journal of Computer and Telecommunications Networking
Joint design and management of energy-aware Mesh Networks
Ad Hoc Networks
Dynamic multiagent load balancing using distributed constraint optimization techniques
Web Intelligence and Agent Systems
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Mobile users' demand for omnipresent, reliable, and high throughput services from a wireless LAN infrastructure has led a significant number of enterprises and public bodies to deploy large-scale high-density IEEE 802.11-based WLANs. These WLANs feature several hundreds to thousands of APs that are managed centrally and are typically dimensioned for peak user demands. Unfortunately, peak demands are occasional and WLANs often under-utilized. Using measurements from two different WLANs we show that the under-utilization of WLANs leads to a significant energy wastage, primarily due to their always-on nature. We discuss designs that can render such WLANs energy efficient and describe energy star infrastructures that can maximize energy savings in different scenarios. We also propose a simple algorithm, Green-clustering for energy star WLAN infrastructures that can lead to up to 90% energy savings. We argue that current and future large-scale WLANs must integrate energy efficiency as a design constraint. We also discuss avenues of further research on energy-star WLAN infrastructures.