'Communication energy' diaporamas de présentation

Adaptive Sleep Scheduling for Energy-efficient Movement-predicted Wireless Communication

Adaptive Sleep Scheduling for Energy-efficient Movement-predicted Wireless Communication. David K. Y. Yau Purdue University Department of Computer Science. Objective. Reducing energy consumption of battery powered devices, e.g., Laptops and Handhelds, in wireless networks

424 views • 31 slides

Vana Jeli?i?, diplg .

432 views • 25 slides

Component-Level Energy Consumption Estimation for Distributed Java-Based Software Systems

Component-Level Energy Consumption Estimation for Distributed Java-Based Software Systems. Chiyoung Seo Yahoo!. Nenad Medvidovic University of Southern California. Sam Malek George Mason University. Motivation. Newly emerging computing platforms (sensors, PDAs, cell phones, etc.)

390 views • 22 slides

Practical Issues in Underwater Networks

Practical Issues in Underwater Networks. Jim Partan, Jim Kurose, Brian Levine University of Massachusetts Amherst. Supported by ONR contract N00014-05-G-0106-0008 via subcontract from WHOI, and NSF award CNS-0519881. introduction.

334 views • 15 slides

A Survey of Practical Issues in Underwater Networks

260 views • 15 slides