Prediction- based Localization for Mobile Wireless Sensor Networks
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Date
2014-09
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
In this paper, we propose two extensions of SDPL
(Speed and Direction Prediction-based Localization) method. The
first is called MA-SDPL (Multiple Anchors SDPL) which uses
multiple mobile anchors instead of only one. Each anchor has its
own trajectory and its own departure point. The goal is to ensure
a total coverage of the sensor field and to multiply the chance of
receiving anchor beacons. Anchor Beacons help localizing mobile
sensors. As a consequence, the location estimation will be
enhanced. The second method deals with one mobile anchor but
with the ability of multi-hoping, that is, when a sensor estimates
that it is well enough localized, it sends beacons to its hneighborhood
about its current location, hence, it plays the role of
an additional anchor. This solution reduces the cost comparing to
when using multiple anchors and allows rapid location
propagation. Simulation results show that the two extensions
improve better the ratio of localized sensors and reduce the
location error compared to the basic SDPL. We have also tested
them in a noisy environment to be closer to a real deployment.
Description
Keywords
Localization, Prediction, Mobile Anchor, Mobile Wireless Sensor Networks