By Amol B. Bakshi
New automatic, 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 out a lot wisdom of the low-level networking elements of deployment. This new strategy relies at the summary activity 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 world program performance that may be immediately compiled onto any goal deployment.The booklet starts with an summary bankruptcy that addresses the real problems with programming methodologies and compares a variety of programming types 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 aid for architecture-independent programmingExamination of the graphical programming and software program synthesis surroundings for ATaGCase examine illustrating the method of end-to-end program improvement and software program synthesis utilizing ATaGThroughout the booklet, 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 application, coupled with the actual fact it makes use of an current language (Java), implies that no distinct education is required to begin constructing and deploying purposes in ATaG. every little 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 (Wiley Series on Parallel and Distributed Computing)
Architecture-levelmacroprogramming means that the programming abstractions should allow concise specification of common patterns of distributed computing and communication in the network. Such patterns are represented as part of neighborhood libraries defined for nodecentric programming methodologies [ 5 5 ] . These will typically have equivalent, concise abstractions in the macroprogramming language whose node-level implementation invokes the libraries. A macroprogramming language can be application-neutral or applicationspecific.
A node-centric approach to programming the network requires each node to be programmed with the following behavior. The acoustic sensor is sampled periodically with a fixed or varying frequency, a Fourier transform is applied to the time-domain samples, and the result is compared with a set of acoustic patterns of interest to the end user. If a match is found, the time- and location-stamped result is communicated to a designated “clusterhead” node which performs further processing such as line of bearing estimation in an attempt to predict the location of the target.
Density-based instantiation. Density-based instantiation is based on the observation that a sensor network can be modeled as a discrete sampling of a continuous physical space. The “end user” who is interested in obtaining information about properties or events of interest in the physical environment will not be overly concerned with the number of nodes in the network, their connectivity, placement, etc. The types of sensing interfaces and the range of the sensors are likely to be of greater interest than the radio range and the network connectivity.