DocumentCode
3175012
Title
Towards mobility-rich analysis in ad hoc networks: using contraction, expansion and hybrid models
Author
Lu, Yenliang ; Lin, Huier ; Gu, Yajuan ; Helmy, Ahmed
Author_Institution
Dept. of Electr. Eng., Southern California Univ., Los Angeles, CA, USA
Volume
7
fYear
2004
fDate
20-24 June 2004
Firstpage
4346
Abstract
A wireless ad hoc network is an infrastructureless network where nodes are mobile. The evaluation of ad hoc networking protocols is very sensitive to mobility. As a result, exploring a set of rich mobility models in ad hoc networks is essential. The purpose of this paper is to introduce a classification of various mobility models, in addition to proposing the contraction, expansion, and hybrid mobility models. These proposed models cover scenarios in which nodes merge, scatter, or switch to different movement patterns over time. We also investigate a set of mobility metrics to capture characteristics of mobility. We implement our mobility models in the IMPORTANT framework in NS-2. We use our framework to evaluate the performance of ad hoc routing protocols. Our study shows that no one metric is sufficient to capture mobility, but average node degree and link duration are very useful in capturing mobility dynamics. We note a wide spectrum of performance outcomes with mobility. Also, we observe that in some scenarios (involving contraction) performance improves with added velocity.
Keywords
ad hoc networks; mobile radio; radio links; routing protocols; ad hoc routing protocols; average node degree; capturing mobility dynamics; hybrid mobility models; infrastructureless network; link duration; mobility-rich analysis; wireless ad hoc networks; Ad hoc networks; Intelligent networks; Mobile ad hoc networks; Reconnaissance; Routing protocols; Scattering; Switches; Traffic control; Vehicle dynamics; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2004 IEEE International Conference on
Print_ISBN
0-7803-8533-0
Type
conf
DOI
10.1109/ICC.2004.1313368
Filename
1313368
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