Title :
To Detect the Distribution of Non-Uniform Random Waypoints
Author :
Wang, Ting ; Low, Chor Ping
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fDate :
2/1/2011 12:00:00 AM
Abstract :
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.
Keywords :
learning (artificial intelligence); mobile communication; mobility management (mobile radio); distribution detection; distribution function; estimation scheme; mobility model; nonuniform random waypoints; supervised learning; wireless mobile networks; Non-uniform random waypoint; mobility model; supervised learning; waypoints distribution;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2011.122010.101589
