Computer Science ETDs

Publication Date

12-1-2009

Abstract

Wireless sensor networks, in an effort to be energy efficient, typically lack the high-level abstractions of advanced programming languages. Though strong, the dichotomy between these two paradigms can be overcome. The SENSIX software framework, described in this dissertation, uniquely integrates constraint-dominated wireless sensor networks with the flexibility of object-oriented programming models, without violating the principles of either. Though these two computing paradigms are contradictory in many ways, SENSIX bridges them to yield a dynamic middleware abstraction unifying low-level resource-aware task reconfiguration and high-level object recomposition. Through the layered approach of SENSIX, the software developer creates a domain-specific sensing architecture by defining a customized task specification and utilizing object inheritance. In addition, SENSIX performs better at large scales (on the order of 1000 nodes or more) than other sensor network middleware which do not include such unified facilities for vertical integration.

Language

English

Keywords

wireless sensor networks, object-oriented programming, SENSIX framework

Document Type

Dissertation

Degree Name

Computer Science

Level of Degree

Doctoral

Department Name

Department of Computer Science

First Advisor

Maccabe, Arthur B.

First Committee Member (Chair)

He, Wenbo

Second Committee Member

Jayaweera, Sudharman

Third Committee Member

Cai, Michael

Project Sponsors

Department of Energy's National Nuclear Security Administration"""

Share

COinS