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dc.contributor.authorOcean, Michael Jamesen_US
dc.date.accessioned2011-10-20T04:50:32Z
dc.date.available2011-10-20T04:50:32Z
dc.date.issued2009en_US
dc.identifier.citationOcean, Michael. "The Sensor Network Workbench: Towards Functional Specification, Verification And Deployment Of Constrained Distributed Systems (PhD Thesis)", Technical Report BUCS-TR-2008-020, Computer Science Department, Boston University, September 10, 2008. [Available from: http://hdl.handle.net/2144/1713]en_US
dc.identifier.urihttp://hdl.handle.net/2144/1713
dc.description.abstractAs the commoditization of sensing, actuation and communication hardware increases, so does the potential for dynamically tasked sense and respond networked systems (i.e., Sensor Networks or SNs) to replace existing disjoint and inflexible special-purpose deployments (closed-circuit security video, anti-theft sensors, etc.). While various solutions have emerged to many individual SN-centric challenges (e.g., power management, communication protocols, role assignment), perhaps the largest remaining obstacle to widespread SN deployment is that those who wish to deploy, utilize, and maintain a programmable Sensor Network lack the programming and systems expertise to do so. The contributions of this thesis centers on the design, development and deployment of the SN Workbench (snBench). snBench embodies an accessible, modular programming platform coupled with a flexible and extensible run-time system that, together, support the entire life-cycle of distributed sensory services. As it is impossible to find a one-size-fits-all programming interface, this work advocates the use of tiered layers of abstraction that enable a variety of high-level, domain specific languages to be compiled to a common (thin-waist) tasking language; this common tasking language is statically verified and can be subsequently re-translated, if needed, for execution on a wide variety of hardware platforms. snBench provides: (1) a common sensory tasking language (Instruction Set Architecture) powerful enough to express complex SN services, yet simple enough to be executed by highly constrained resources with soft, real-time constraints, (2) a prototype high-level language (and corresponding compiler) to illustrate the utility of the common tasking language and the tiered programming approach in this domain, (3) an execution environment and a run-time support infrastructure that abstract a collection of heterogeneous resources into a single virtual Sensor Network, tasked via this common tasking language, and (4) novel formal methods (i.e., static analysis techniques) that verify safety properties and infer implicit resource constraints to facilitate resource allocation for new services. This thesis presents these components in detail, as well as two specific case-studies: the use of snBench to integrate physical and wireless network security, and the use of snBench as the foundation for semester-long student projects in a graduate-level Software Engineering course.en_US
dc.language.isoen_USen_US
dc.publisherBoston University Computer Science Departmenten_US
dc.relation.ispartofseriesBUCS Technical Reports;BUCS-TR-2008-020en_US
dc.titleThe Sensor Network Workbench: Towards Functional Specification, Verification and Deployment of Constrained Distributed Systemsen_US
dc.typeTechnical Reporten_US
etd.degree.nameDoctor of Philosophy
etd.degree.leveldoctoral
etd.degree.disciplineComputer Science
etd.degree.grantorBoston University


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