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Reconfigurable middleware architectures for large scale sensor networks

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/10297

Reconfigurable middleware architectures for large scale sensor networks

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dc.contributor.author Brennan, Sean M.
dc.date.accessioned 2010-02-09T20:52:14Z
dc.date.available 2010-02-09T20:52:14Z
dc.date.issued 2010-02-09T20:52:14Z
dc.date.submitted December 2009
dc.identifier.uri http://hdl.handle.net/1928/10297
dc.description.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. en_US
dc.description.sponsorship Department of Energy's National Nuclear Security Administration en_US
dc.language.iso en_US en_US
dc.subject SENSIX framework en_US
dc.subject wireless sensor networks en_US
dc.subject object-oriented programming en_US
dc.subject.lcsh Wireless sensor networks--Programming.
dc.subject.lcsh Object-oriented programming (Computer science)
dc.subject.lcsh Middleware.
dc.title Reconfigurable middleware architectures for large scale sensor networks en_US
dc.type Dissertation en_US
dc.description.degree Computer Science en_US
dc.description.level Doctoral en_US
dc.description.department University of New Mexico. Dept. of Computer Science en_US
dc.description.advisor Maccabe, Arthur B.
dc.description.committee-member He, Wenbo
dc.description.committee-member Jayaweera, Sudharman
dc.description.committee-member Cai, Michael


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