By Amol B. Bakshi
New computerized, application-independent technique for designing and deploying sensor networks
Following this book's transparent causes, examples, and illustrations, area specialists can layout and set up nontrivial networked sensing functions with out a lot wisdom of the low-level networking points of deployment. This new process relies at the summary job Graph (ATaG), a data-driven programming version and an cutting edge technique forarchitecture-independent programming and automated software program synthesis for sensor networks. ATaG courses are concise, comprehensible, and network-independent descriptions of worldwide program performance that may be instantly compiled onto any goal deployment.
The e-book starts off with an summary bankruptcy that addresses the real problems with programming methodologies and compares numerous 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:
specific description of the ATaG model's gains
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 program improvement and software program synthesis utilizing ATaG
in the course of the e-book, the authors offer code excerpts and figures to aid make clear key options 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), signifies that no exact education is required to begin constructing and deploying functions in ATaG. every thing you want to recognize is obviously set forth during this ebook.
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Extra info for Architecture-independent programming for wireless sensor networks
This is different from the passive tuple space that merely buffers the produced data items and whose modifications are really a side effect of control-driven task execution. 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.
Since imperative programming requires the programmer to specify the ‘how’ of computation in detail, the advantage of intimate control over program execution is offset by the programming complexity, especially for large-scale andor distributed systems. High-level procedural languages and object-oriented languages provide constructs such as objects that ease the task of writing complex imperative programs, but the basic paradigm remains unchanged. nesC [ 191 and Kairos are examples of imperative programming languages for sensor network applications.
The transfer of data between modules (if any) is hidden in the arguments to the function being invoked. The core of the operating system is just a scheduler, and there is no active data store that spawns tasks based on their firing conditions. Tuple spaces is another abstraction that is superficially similar to datadriven program flow but, at least as used in the Linda coordination language, is basically a mechanism for spatially and temporally decoupled sharing of data among multiple processes in a control-driven distributed program.
Architecture-independent programming for wireless sensor networks by Amol B. Bakshi