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Full Description
This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Topics and features: introduces a range of fundamental graph algorithms, covering spanning trees, graph traversal algorithms, routing algorithms, and self-stabilization; reviews graph-theoretical distributed approximation algorithms with applications in ad hoc wireless networks; describes in detail the implementation of each algorithm, with extensive use of supporting examples, and discusses their concrete network applications; examines key graph-theoretical algorithm concepts, such as dominating sets, and parameters for mobility and energy levels of nodes in wireless ad hoc networks, and provides a contemporary survey of each topic; presents a simple simulator, developed to run distributed algorithms; provides practical exercises at the end of each chapter.
Contents
Introduction.- Part I: Fundamental Algorithms.- Graphs.- The Computational Model.- Spanning Tree Construction.- Graph Traversals.- Minimal Spanning Trees.- Routing.- Self-Stabilization.- Part II: Graph Theoretical Algorithms.- Vertex Coloring.- Maximal Independent Sets.- Dominating Sets.- Matching.- Vertex Cover.- Part III: Ad Hoc Wireless Networks.- Introduction.- Topology Control.- Ad Hoc Routing.- Sensor Network Applications.- ASSIST: A Simulator to Develop Distributed Algorithms.- Pseudocode Conventions.- ASSIST Code.- Applications Using ASSIST.
