Routing Protocols and Graph Theory Algorithms for Mobile Ad Hoc Networks

Routing Protocols and Graph Theory Algorithms for Mobile Ad Hoc Networks

Natarajan Meghanathan (Jackson State University, USA)
Release Date: January, 2017|Copyright: © 2017 |Runtime: 3 hrs 8 mins
EISBN13: 9781522522270|DOI: 10.4018/978-1-5225-2227-0
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Description

Wireless communication has undergone significant development in recent years. These advances have allowed for superior network models and infrastructures.

Routing Protocols and Graph Theory Algorithms for Mobile Ad Hoc Networks explores emerging perspectives on the use of algorithms to analyze the behavior of MANET routing protocols. Focusing on innovative applications of algorithms to facilitate communication, this video resource is ideally designed for researchers, professionals, upper-level students, and practitioners interested in better understanding the various categories of MANET routing protocols.

Topics Covered

  • Bottleneck Path Problem
  • Broadcast Communication
  • Connected Dominating Sets
  • Multicast Communication
  • Multi-Path Communication
  • Steiner Tree Problem
  • Unicast Communication
  • Zone-Disjoint Routing

Table of Contents

Introduction & Biography
1:11 mins
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Section 1:Introduction
 
Lesson 1:Mobile Ad Hoc Networks
6:44 mins
 
Lesson 2:Graph Theory Basics
8:15 mins
 
Lesson 3:Breadth First Search
7:20 mins
 
Lesson 4:Manet Route Discovery
7:22 mins
 
Section 2:Unicast Minimum Weight Single Path Routing
 
Lesson 5:Minimum Hop Routing Protocols
9:24 mins
 
Lesson 6:Dijkstra Algorithm for Minimum Weight Path Routing
15:38 mins
 
Lesson 7:Bellman-Ford Algorithm for Minimum Weight Path Routing
18:07 mins
 
Lesson 8:Floyd's All Pairs Minimum Weight Paths Algorithm
13:26 mins
 
Section 3:Unicast Multi-Path Routing
 
Lesson 9:Multi-Path Routing Protocols
6:35 mins
 
Lesson 10:Graph Theoretic Algorithms for Multi-Path Routing
8:01 mins
 
Section 4:Unicast Stable Path Routing
 
Lesson 11:Max-Min Bottleneck Path Protocol and Algorithm
15:07 mins
 
Lesson 12:Min-Max Bottleneck Path Protocal and Algorithm
12:17 mins
 
Lesson 13:All Pairs Max-Min and Min-Max Bottleneck Path Algorithms
9:44 mins
 
Section 5:Multicast Routing
 
Lesson 14:Shortest Path Tree and Steiner Tree
10:37 mins
 
Lesson 15:Heuristic to Approximate a Minimum Edge Steiner Tree
7:40 mins
 
Section 6:Broadcast Communication
 
Lesson 16:Heuristic For Degree-Based Minimum Connected Dominating Sets
9:01 mins
 
Lesson 17:Heuristic For Node Weight-Based Minimum Connected Dominating Sets
7:05 mins
 
Lesson 18:Heuristic For Link Weight-Based Minimum Connected Dominating Sets
14:32 mins