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Performance Evaluation
Volume 63, Issue 11, November 2006, Pages 1110-1126
Performance Modelling and Evaluation of Wireless Ad Hoc and Sensor Networks
 
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doi:10.1016/j.peva.2006.05.004    
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Copyright © 2006 Elsevier Ltd All rights reserved.

Performance evaluation of multiple-rate mobile ad hoc networksstar, open

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Gang Dinga, Corresponding Author Contact Information, E-mail The Corresponding Author, Xiaoxin Wub, E-mail The Corresponding Author and Bharat Bhargavab, E-mail The Corresponding Author

aSchool of Electrical and Computer Engineering, Purdue University, W. Lafayette, IN 47907, United States

bDepartment of Computer Sciences, Purdue University, W. Lafayette, IN 47907, United States


Available online 27 June 2006.

Abstract

Existing wireless networks usually provide multiple data transmission rates. This paper presents a simulation study of the performance of multiple-rate mobile ad hoc networks (MANETs), based on an evolved ns-2 simulator. At the physical layer, realistic models such as the Walfisch–Ikagami radio propagation model and lognormal fading are implemented. At the link layer, a link adaptation algorithm is implemented to select an appropriate data transmission rate based on the receiving signal-to-noise ratio. At the transport and application layers, different data traffics, including constant bit rate, TCP, voice over IP, and video, are generated. We study the network performance such as throughput, delivery ratio, and end-to-end delay when position-based routing is used. We also study how node mobility and position error affect the performance. In addition, we investigate the impact of the link distance, namely the geographic distance for a hop, on the end-to-end network throughput. This work is a comprehensive simulation study on the impact of various factors on the performance of MANETs. It also provides guidelines for future protocol and algorithm design.

Keywords: Mobile ad hoc network; Link adaptation; Link distance; Network allocation vector

Article Outline

1. Introduction
2. Simulation setup
2.1. Radio propagation model
2.2. Link adaptation
2.3. Position-based routing
2.4. VoIP and video data traffic
2.5. Network scenario
3. Simulation on link adaptation
3.1. Performance improvement by rate control
3.2. NAV estimation and update
3.3. Carrier sense threshold
4. Simulation on link distance
5. Simulation on data traffic
5.1. TCP traffic
5.2. Real-time data traffic
6. Simulation on mobility
6.1. Position error
6.2. Moving speed
7. Conclusion
Acknowledgements
Appendix. Walfisch–Ikegami model
References
Vitae











star, openThis work is partly supported by NSF grants ANI 0219110 and CCR 0001788, and Motorola Labs.


Corresponding Author Contact InformationCorresponding author.

Performance Evaluation
Volume 63, Issue 11, November 2006, Pages 1110-1126
Performance Modelling and Evaluation of Wireless Ad Hoc and Sensor Networks
 
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