We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Joint Computation and Communication Scheduling to Enable Rich Mobile Applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mukhopadhyay, S. ; Univ. of California, San Diego ; Schurgers, C. ; Dey, S.

Increasing interest in sensor networking and ubiquitous computing has created a trend towards embedding more and more intelligence into our surroundings. This enables thin wireless clients to support powerful applications by using processing resources that are available around them. One of the major challenges is how to schedule both the embedded computing and wireless communication resources to support a broad set of client nodes. This scheduling has to take into account the constraints on the wireless capacity, as well as the resource limitations on the processing elements. We have developed a set of fast algorithms to perform this scheduling, based on an LP-approachand a greedy solution. These algorithms are able to perform the scheduling with a performance close to the optimal exhaustive solution, but with an execution time that is reduced by three or more orders of magnitude (from hours to seconds).

Published in:

Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE

Date of Conference:

26-30 Nov. 2007