To Detect the Distribution of Non-Uniform Random Waypoints

The Non-Uniform Random Waypoint (NU-RWP) mobility model has recently be proposed as a potential mobility model for the study of wireless mobile networks. However, it is difficult to obtain the waypoints distribution of NU-RWP in most practical situations. In this paper, we analytically derive the re...

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Bibliographic Details
Published in:IEEE communications letters 2011-02, Vol.15 (2), p.193-195
Main Authors: Wang, Ting, Low, Chor Ping
Format: Article
Language:English
Subjects:
Applied sciences
Equipments and installations
Estimation
Exact sciences and technology
Leg
Mobile radiocommunication systems
mobility model
Non-uniform random waypoint
Radiocommunications
Sensor systems
Supervised learning
Telecommunications
Telecommunications and information theory
Training
waypoints distribution
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Summary:The Non-Uniform Random Waypoint (NU-RWP) mobility model has recently be proposed as a potential mobility model for the study of wireless mobile networks. However, it is difficult to obtain the waypoints distribution of NU-RWP in most practical situations. In this paper, we analytically derive the relationship between waypoints distribution and the number of hosts' arrivals that could be detected by sensors. An estimation scheme using supervised learning algorithm is proposed to simplify the evaluation of the distribution function. Simulations are carried out to verify the correctness of our proposed scheme.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2011.122010.101589