Download Architecture-Independent Programming for Wireless Sensor by Amol B. Bakshi PDF

By Amol B. Bakshi

ISBN-10: 0471778893

ISBN-13: 9780471778899

New computerized, application-independent method for designing and deploying sensor networksFollowing this book's transparent motives, examples, and illustrations, area specialists can layout and set up nontrivial networked sensing purposes with no 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 world software performance that may be immediately compiled onto any aim deployment.The ebook starts off with an summary 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 wish for designing and deploying sensor networks utilizing ATaG, including:Detailed description of the ATaG model's featuresSystem-level help for architecture-independent programmingExamination of the graphical programming and software program synthesis setting for ATaGCase examine illustrating the method of end-to-end program improvement and software program synthesis utilizing ATaGThroughout the publication, the authors supply code excerpts and figures to aid make clear key suggestions and clarify each one step.For programmers, the graphical formalism of the ATaG software, coupled with the actual fact it makes use of an present language (Java), signifies that no specific education is required to begin constructing and deploying functions in ATaG. every little thing you want to recognize is obviously set forth during this publication.

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Extra resources for Architecture-Independent Programming for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)

Sample text

Macroprograms will be generated automatically from a high-level declarative specification and in turn compiled into node-level specifications. Modularity and composability enables the creation of libraries of commonly encountered behaviors and allows existing applications to be suitably reused as subsets of larger functionalities. In control-driven distributed programming using message passing or other communication libraries, tasks explicitly invoke each other’s services. Since this requires a task to have information about other task it communicates with, any modification to a task is likely to affect other tasks in the program.

The program that executes on each node is part of a larger distributed application that delivers the results of an implicit or explicit domain specific query. Each node is required to be aware of its role in accomplishing the overall objective; that is, it is required to implement a predefined protocol for information exchange within the network. Consider a sensor network deployed for object tracking. The desired result of the implicit and perennial domain specific query in this case is the current location of target(s) (if any) in the network.

Kairos is a macroprogramming language because the programmer writes a single, centralized program for the entire network, and the compiler and runtime system are responsible for the translation of this program into node-level behaviors, and implementing data coherence, respectively. TinyDB also enables macroprogramming because the programmer who formulates the SQL-like declarative aggregate query over sensor data is not responsible for (or even aware of) the details of in-network processing that are responsible for data collection and processing.

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