By Amol B. Bakshi
New automatic, application-independent method for designing and deploying sensor networks
Following this book's transparent motives, examples, and illustrations, area specialists can layout and installation nontrivial networked sensing purposes with no a lot wisdom of the low-level networking facets of deployment. This new strategy relies at the summary job Graph (ATaG), a data-driven programming version and an leading edge technique forarchitecture-independent programming and automated software program synthesis for sensor networks. ATaG courses are concise, comprehensible, and network-independent descriptions of worldwide software performance that may be instantly compiled onto any aim deployment.
The publication starts off with an outline bankruptcy that addresses the $64000 problems with programming methodologies and compares a variety of programming versions for sensor networks. subsequent, the authors set forth every little thing you would like for designing and deploying sensor networks utilizing ATaG, together with:
targeted description of the ATaG model's positive factors
System-level aid for architecture-independent programming
exam of the graphical programming and software program synthesis surroundings for ATaG
Case research illustrating the method of end-to-end software improvement and software program synthesis utilizing ATaG
during the e-book, the authors supply code excerpts and figures to assist make clear key techniques and clarify every one step.
For programmers, the graphical formalism of the ATaG software, coupled with the very fact it makes use of an latest language (Java), implies that no specific education is required to begin constructing and deploying functions in ATaG. every thing you must understand is obviously set forth during this e-book.
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Additional info for Architecture-independent programming for wireless sensor networks
This annotation can be trivially generalized to allow the specification of a list of node IDS instead of a single ID, thereby allowing the programmer to specify a list of nodes that should host the task in question. The spatial extent:^ 1,y 1,x2,y2,. annotation has a similar motivation and capability as the one-on-node-1D:n annotation, except that the former allows fine-grained placement control in terms of geographic area. For deployment scenarios where the (real or virtual) coordinate system is known a priori, this annotation can be used to localize certain applications to a specific area of deployment, thereby enabling a virtual partitioning of the deployment into different zones.
The ATaG model of a program is similar to the task graph model in that the application is represented as a set of tasks and a set of data items connected via directed arrows denoting the input or output relationship between a task and a data item. Tasks and arrows (called “channels” in ATaG) also have associated annotations that determine the translation of the architecture-independent ATaG program in the context of a particular network deployment. An ATaG program is a set of abstract declarations.
14 INTRODUCTION In fact, the concept of tuple spaces has its roots in Blackboard architectures  of A1 research. ATaG’s active data pool is similar to the “demoned data servers” of DOSBART  that enabled distributed data-driven computation in a blackboard architecture. The notions of activity class and trigger activities of DOSBART are similar to the abstract tasks and their firing rules in the ATaG model, respectively. 3 MACROPROGRAMMING: WHAT AND WHY? The primary focus of this dissertation is on the programming of large-scale networked sensor systems.