Titlebook: Decentralized Spatial Computing; Foundations of Geose Matt Duckham Textbook 2013 Springer-Verlag Berlin Heidelberg 2013 GIS.SQL.algorithmic

BAIT

Vom Subjekt zum User – und zurück?m. The chapter introduces the simulation system used to implement all the protocols in this book, NetLogo. The NetLogo system is used to construct basic scalability experiments. By revisiting many of the protocols from previous chapters, the discussion in this chapter demonstrates how to explore exp

finite

助記

https://doi.org/10.1007/978-3-8274-2629-1pter addresses a selection of important, ongoing challenges that arise from the increasing ubiquity of geosensor networks and decentralized spatial computing environments. Some of these are challenges to the decentralized spatial algorithm designer, such as algorithm design with greater modularity,

仇恨

善辯

lized computing with spatial and spatiotemporal information. In Part II he applies those concepts and techniques to the development of algorithms for decentralized spatial computing, stepping through a suite of978-3-642-44130-1978-3-642-30853-6

小卷發(fā)

When Computing Happens Somewhere questions: what? why? and how? . is changing is the location where computing with spatial information occurs. Spatial information has traditionally been stored and processed in physical locations that are unrelated to the actual locations referred to in that information. However, a new paradigm is

Yourself

declamation

Algorithmic Foundationsl algorithm design tools. First, the chapter sets out a language for specifying decentralized spatial algorithms, based on the specification of local protocols for individual node behavior, rather than on global system behavior. Next, the approach defines a structured analysis technique for understa

Liability

minimal

Location-Based Algorithmsssume access to a broader range of spatial information, such as the coordinate locations of nodes. As a result, location-based algorithms can provide a much broader range of functionality, including generating planar network topologies; efficient geographic routing; computing the area and centroid o