The node distribution of the random waypoint mobility model for wireless ad hoc networks

被引:695
作者
Bettstetter, C
Resta, G
Santi, P
机构
[1] Tech Univ Munich, Inst Commun Networks, D-80290 Munich, Germany
[2] CNR, Ist Informat & Telemat, Area Ric San Cataldo, I-56124 Pisa, Italy
关键词
mobility modeling; random waypoint model; mobile ad hoc networking; simulation;
D O I
10.1109/TMC.2003.1233531
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The random waypoint model is a commonly used mobility model in the simulation of ad hoc networks. It is known that the spatial distribution of network nodes moving according to this model is, in general, nonuniform. However, a closed-form expression of this distribution and an in-depth investigation is still missing. This fact impairs the accuracy of the current simulation methodology of ad hoc networks and makes it impossible to relate simulation-based performance results to corresponding analytical results. To overcome these problems, we present a detailed analytical study of the spatial node distribution generated by random waypoint mobility. More specifically, we consider a generalization of the model in which the pause time of the mobile nodes is chosen arbitrarily in each waypoint and a fraction of nodes may remain static for the entire simulation time. We show that the structure of the resulting distribution is the weighted sum of three independent components: the static, pause, and mobility component. This division enables us to understand how the model's parameters influence the distribution. We derive an exact equation of the asymptotically stationary distribution for movement on a line segment and an accurate approximation for a square area. The good quality of this approximation is validated through simulations using various settings of the mobility parameters. In summary, this article gives a fundamental understanding of the behavior of the random waypoint model.
引用
收藏
页码:257 / 269
页数:13
相关论文
共 34 条
  • [1] [Anonymous], P ACM INT WORKSH MOD
  • [2] [Anonymous], 1998, Stochastic Analysis, Control
  • [3] ARON ID, 2000, P ACM WORKSH MOD AN
  • [4] BETTSTETTER C, 2004, IN PRESS ACM KLUWER
  • [5] BETTSTETTER C, 2002, P ACM INT S MOB AD H
  • [6] Bettstetter C., 2001, P IEEE INT C MOB WIR
  • [7] Bettstetter C., 2002, P 1 GERM WORKSH MOB
  • [8] BETTSTETTER C, 2003, P ACM IT S MOB AD HO
  • [9] BETTSTETTER C, 2001, ACM MOBILE COMP COMM, V5
  • [10] BLOUGH DM, 2002, P ACM INT WORKSH MOD