Author(s): Mohammad A. Mikki
Article publication date: 2009-06-01
Vol. 27 No. 1/2 (yearly), pp. 48-57.
124
Keywords
Wireless sensor networks, mobile networks, sensor localization techniques, predictive
localization protocol, adaptive localization protocols.
Abstract
Many localization techniques and protocols have been proposed for wireless sensor
networks. However, few of these techniques consider the mobility of the networked sensors.
When sensors are mobile, localization must be invoked periodically to enable sensors to track
their location. Localizing should be made frequently to allow the sensors to track their location
accurately. However, localizing frequently is expensive in terms of energy consumption and
program time. This research proposes an efficient Hybrid Localization Protocol (HLP) for
mobile sensor networks that dynamically invokes adaptive and predictive protocols based on
some heuristics. The proposed HLP determines the optimal localization frequency based on the
sensor’s speed and mobility pattern predictability. Optimal localization frequency reduces the
energy consumption of localization while increasing the localization accuracy. Experimental
simulation results and analysis show that the proposed protocol is more efficient in terms
of energy consumption and localization accuracy than the existing counterpart protocols.