A novel radio source search algorithm using force field vectors and received signal strengths Online publication date: Thu, 14-Mar-2013
by Xiaochen Zhang; Yi Sun; Jizhong Xiao
International Journal of Mechatronics and Automation (IJMA), Vol. 3, No. 1, 2013
Abstract: The indoor radio source search using received signal strength (RSS) is difficult due to the multipath effects. Robots driven by the RSS gradient-based searching methods are always stuck by local basins which are the areas around local maxima. In this paper, we propose a force field searching (FFS) algorithm which is cost efficient in environments with RSS local basins. The FFS algorithm fuses the geometry layout information with RSS. Virtual attraction forces weighted by RSS gradients are modelled to guide the robot to the radio source. Furthermore, the travel costs of FFS and the gradient ascent with correlated random walks (GACRW) algorithm are derived as functions of the searching space size, the local basin size and the local basin number in gradient fields. The analytical expressions are confirmed by simulations. It is shown that FFS is much faster than other algorithms in simulations driven by real data.
Online publication date: Thu, 14-Mar-2013
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechatronics and Automation (IJMA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com