Model-driven engineering of planning and optimisation algorithms for pervasive computing environments

Loading...
Thumbnail Image

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Trinity College (Dublin, Ireland). School of Computer Science & Statistics

Access

openAccess

Embargo end date

Citation

Anthony Christopher Harrington, 'Model-driven engineering of planning and optimisation algorithms for pervasive computing environments', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010, pp 286

Abstract

This thesis addresses the development of that class of pervasive computing applications that can be modelled as real-world planning and optimisation problems. Canonical examples of such applications are the control of transportation infrastructures, activities such as region-wide pollution monitoring and emergency-service management. The formal foundations of planning and optimisation problems are well established, however applying these techniques to pervasive computing applications is still a challenging task.

Description

Endorsement

Review

Supplemented By

Referenced By

Qualification name: Doctor of Philosophy (Ph.D.)
Publisher: Trinity College (Dublin, Ireland). School of Computer Science & Statistics
Type of material: thesis