Location information is crucial for many applications of sensor networks to fulfill their functions. A mobile sensor network
is comprised of both mobile and stationary sensors. So far little work has been done to tackle the mobility of sensors in
localization for sensor networks. In this paper, we propose the QoL-guided distributed refinements for anchor-free localization
in wireless mobile sensor networks. Accuracy is the core concern for localization. We introduce the important concept of Quality
of Localization (QoL) to indicate the accuracy of a computed location for a specific sensor node. Our approach is divided
into two phases. In Phase one, we propose the algorithm QoL-guided spreading localization with refinements to compute locations
for sensor nodes right after the deployment of the sensor network when the mobile sensors are required to stay static temporarily.
In Phase two, the non-movement restriction is released and we propose the mobile location self-updating algorithm to update
locations of mobile sensors regularly or on demand. Extensive simulations are conducted, which demonstrate that our approach
is a promising technique for localization in wireless mobile sensor networks.
This research was supported in part by Hong Kong RGC Grants HKUST6264/04E and AoE/E-01/99.