Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks
Wireless sensor networks may be deployed in many applications to detect and track events of interest. Events can be either point events with an exact location and constant shape, or region events which cover a large area and have dynamic shapes. While both types of events have received attention, no event detection and tracking protocol in existing wireless sensor network research is able to identify and track region events with dynamic shapes (NH-change shapes to identities), which arise when events are created or destroyed through splitting and merging. In this paper, the authors propose DRAGON, event detection and tracking protocol which is able to handle all types of events including region events with dynamic identities.