Distributed Graph Algorithms for Computer Networks is popular PDF and ePub book, written by Kayhan Erciyes in 2013-05-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Distributed Graph Algorithms for Computer Networks can be Read Online from any device for your convenience.
Distributed Graph Algorithms for Computer Networks Book PDF Summary
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.
Detail Book of Distributed Graph Algorithms for Computer Networks PDF
- Author : Kayhan Erciyes
- Release : 16 May 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781447151739
- Genre : Computers
- Total Page : 328 pages
- Language : English
- PDF File Size : 12,8 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Distributed Graph Algorithms for Computer Networks by Kayhan Erciyes, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
