Prediction of nodes mobility in 3-D space
Abstract
Recently, mobility prediction researches attracted increasing interests,
especially for mobile networks where nodes are free to move in the three dimensional space. Accurate mobility prediction leads to an efficient data
delivery for real time applications and enables the network to plan for future
tasks such as route planning and data transmission in an adequate time and a
suitable space. In this paper, we proposed, tested and validated an algorithm
that predicts the future mobility of mobile networks in three-dimensional
space. The prediction technique uses polynomial regression to model the
spatial relation of a set of points along the mobile node’s path and then
provides a time-space mapping for each of the three components of the
node’s location coordinates along the trajectory of the node. The proposed
algorithm was tested and validated in MATLAB simulation platform using
real and computer generated location data. The algorithm achieved an
accurate mobility prediction with minimal error and provides promising
results for many applications.
Author
Al-Hattab, Mohammad
Hamada, Nuha