Title :
On the Probability of K-hop Connection in Wireless Sensor Networks
Author :
Ta, Xiaoyuan ; Mao, Guoqiang ; Anderson, Brian D O
Author_Institution :
Univ. of Sydney & Nat. ICT, Sydney
fDate :
8/1/2007 12:00:00 AM
Abstract :
Considering a wireless sensor network whose sensors are randomly and independently distributed in a bounded area according to a homogeneous Poisson process with intensity p and each sensor has a uniform transmission radius of ro, an important problem is to obtain the probability that two random sensors separated by a known distance x are k hop neighbors for some positive integer k. In this letter, we give a recursive analytical equation for computing this probability. The analytical solution is validated by simulations.
Keywords :
probability; stochastic processes; wireless sensor networks; homogeneous Poisson process; k-hop connection; probability; recursive analytical equation; wireless sensor network; Analytical models; Australia; Computational modeling; Data communication; Delay estimation; Energy consumption; Euclidean distance; Length measurement; Poisson equations; Wireless sensor networks;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2007.070569