By Amol B. Bakshi
New automatic, application-independent technique for designing and deploying sensor networks
Following this book's transparent reasons, examples, and illustrations, area specialists can layout and installation nontrivial networked sensing purposes with out a lot wisdom of the low-level networking facets of deployment. This new strategy relies at the summary activity Graph (ATaG), a data-driven programming version and an cutting edge method 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 booklet starts with an outline bankruptcy that addresses the real problems with programming methodologies and compares quite a few programming versions for sensor networks. subsequent, the authors set forth every thing you would like for designing and deploying sensor networks utilizing ATaG, together with:
distinctive description of the ATaG model's positive aspects
System-level help 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
through the ebook, the authors supply code excerpts and figures to assist make clear key innovations and clarify every one step.
For programmers, the graphical formalism of the ATaG application, coupled with the actual fact it makes use of an current language (Java), signifies that no exact education is required to begin constructing and deploying purposes in ATaG. every little thing you must understand is obviously set forth during this ebook.
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Extra resources for Architecture-independent programming for wireless sensor networks
The event loop in lines 15 through 20 represents an iterative process where each node periodically contacts each of its one-hop neighboring nodes from the list of one-hop neighbors, determines if that node is closer to the root than itself, and conditionally sets its parent in the routing tree to the neighboring node that is nearest to the root. 10 INTRODUCTION let mesh = planarize world nodesAbove = afilter ( ( > = threshold) (read-sensor SENSTYP)) mesh midpoint nstl nst2 = (read-nstate LOCATION nstl + read-nstate LOCATION nst2) / 2 contourpoints node = let neighborsBelow = filter ( ( < threshold) (read-nstate SENSTYP)) (get-neighbors node) in map (midpoint (get-nstate node)) neighborsBelow all-contourpoints = amap contourpoints nodesAbove in afold append all contourpoints .
2 Macroprogramming The objective of macroprogramming is to allow the programmer to write a distributed sensing application without explicitly managing control, coordination, and state maintenance at the individual node level. Macroprogramming languages provide abstractions that can specify aggregate behaviors that are automatically synthesized into software for each node in the target deployment. The structure of the underlying runtime system will depend on the particular programming model. While serviceoriented specification is likely to be invariably declarative, various program flow mechanisms-functional, dataflow, and imperative-are being explored as the basis for macroprogramming languages.
A case study is included in Chapter 5 to illustrate the development of an application consisting of two behaviors-object tracking and environment monitoring-using this programming environment. We conclude in Chapter 6. 1 TARGET APPLICATIONS AND ARCHITECTURES ATaG is not designed for a particular sensor node platform, network architecture, or application domain. We model the deployment as a distributed system consisting of a set of autonomous elements (sensor nodes). Each element of the system has on-board computation and storage capability and can communicate with the rest of the elements through one or more neighbors.