In this book, we aim to design and implement algorithms in a distributed environment in order to solve clustering, backbone formation and efficient routing problems for mobile ad hoc networks(MANET)s. Our first goal is to find a connected dominating set (CDS), then construct clusters using the clusterhead information and extend this approach to multi-level clusters. We propose a new connected dominating set based clustering algorithm for clustering in MANETs. In our algorithm we propose a heuristic based approach by considering degrees of the nodes during node selection. We also extend our...
In this book, we aim to design and implement algorithms in a distributed environment in order to solve clustering, backbone formation and efficient ro...
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...
This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practic...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the study of complex networks is to understand the collective behavior of the various elements of these networks. Although the results from graph theory have proven to be powerful in investigating the structures of complex networks, few books focus on the algorithmic aspects of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph theoretic knowledge needed...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the s...
Graph theory is an invaluable tool for the designer of algorithms for distributed systems.
This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter opens with a concise introduction to a specific problem, supporting the theory with numerous examples, before providing a list of relevant algorithms. These algorithms are described in detail from conceptual basis to pseudocode, complete with graph templates for the stepwise implementation of...
Graph theory is an invaluable tool for the designer of algorithms for distributed systems.
This hands-on textbook/reference presents a compre...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the study of complex networks is to understand the collective behavior of the various elements of these networks. Although the results from graph theory have proven to be powerful in investigating the structures of complex networks, few books focus on the algorithmic aspects of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph theoretic...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the s...
This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems.
This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, ...
