The ability of a sensor node to determine its physical location within a network (Localization) is of fundamental importance in sensor networks. Interpretating data from sensors is not possible unless the context of the data is known; the context of the data is most often determined by tracking its physical location and the sample time. Existing research has focused on localization in static sensor networks where localization is a one-time or low frequency activity. In contrast, this paper considers localization for mobile sensors: when sensors are mobile, localization must be invoked periodically to enable the sensors to track their location. Localizing more frequently allows the sensors to more accurately track their location in the presence of mobility. However, localization is a costly operation since it involves both communication and computation. In this paper, we propose and investigate adaptive and predictive protocols that control the time of localization based on sensor mobi...
Sameer Tilak, Vinay Kolar, Nael B. Abu-Ghazaleh, K