Minimizing Energy for Wireless Web Access with Bounded Slowdown

By Ronny Krashinsky, Hari Balakrishnan. ACM/IEEE International Conference on Mobile Computing and Networking, 2002

448 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/78477220d92371b408803adf256b71c40f1130ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Rajesh K. Gupta
2. Vincent W. Freeh
3. Trevor Pering
4. Yuvraj Agarwal
5. Roy Want
6. Claire Monteleoni
7. Tyler K. Bletsch
8. Tommi S. Jaakkola

In Electrical and Electronic Engineering

1. Rajesh K. Gupta
2. Trevor Pering
3. Yuvraj Agarwal
4. Roy Want
5. Claire Monteleoni
6. Tommi S. Jaakkola

Citations in the corpus

• A MAC protocol to reduce sensor network energy consumption using a wakeup radio (2005, unknown): “In addition to power conservation at the MAC layer, protocols have been developed at the routing layer [37]‐ [39], transport layer [ 40 ], and application layer [41]‐[43].”
• CoolSpots: reducing the power consumption of wireless mobile devices with multiple radio interfaces (2006, methodology): “11 Power Save Mode (PSM): for example, a bounded-delay addition to PSM can drastically reduce incurred delay while maintaining power savings [8].”
• Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs (2005, background): “Interms of research on device-specific energy savings, there is work in the CPU via dynamic voltage scaling ( e.g. , [14, 34, 18]), the disk via spindown ( e.g. , [22, 10]), and on the memory or network ( e.g. , [28, 26]).”
• Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, unknown): “Here f and g are the vector representations of the experimental and calculated spectrum, respectively.”
• Online Learning of Non-stationary Sequences (2003, methodology): “Previous work includes Krashinsky and Balakrishnan’s [10] Bounded Slowdown algorithm which uses an adaptive control loop to change polling time based on network conditions.”