Impact of Mobility Models on Routing Protocols for Various Traffic Classes in Mobile Ad Hoc Networks
Author | : Hayder Majid Abdulhameed Alash |
Publisher | : |
Total Pages | : 81 |
Release | : 2016 |
ISBN-10 | : OCLC:968794442 |
ISBN-13 | : |
Rating | : 4/5 (42 Downloads) |
Download or read book Impact of Mobility Models on Routing Protocols for Various Traffic Classes in Mobile Ad Hoc Networks written by Hayder Majid Abdulhameed Alash and published by . This book was released on 2016 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Mobile ad hoc network (MANET) is a set of wireless mobile devices which are connected together without using any infrastructure. The mobility of devices in MANET continuously changes the network topology and that makes routing between devices more complicated. Examples of such networks include networks for trucks on interstate highways, remote environmental and animal-movement outposts, wireless military battlefield networks that connect troops, aircraft, satellites, and sensors on land and in water, and Interplanetary networks. Three factors significantly influence the end-to-end performance in terms of Quality of Service (QoS); (i) mobility pattern/model, (ii) underlying routing algorithm and (iii) traffic patterns. While several theoretical models exist to describe mobility, traffic pattern, and routing algorithms, developing a model to collectively incorporate mobility, routing, and traffic is intractable. In this thesis, we intend to develop simulation models that bring these three factors together and measure applications performance in terms of end-to-end throughput (bit rate), latency, and jitter. Three classes of MANET routing algorithms (Proactive, Reactive, and Hybrid), two mobility models (Random Waypoint and Group), and three classes of traffic patterns (constant bit rate, variable bit rate, and random) have been investigated. Our result shows the relationship between these parameters and determines which routing algorithm is suitable for specific mobility model and specific traffic pattern.