A Novel Link-Segment Storage and Query Scheme for Object Tracking Applications in Wireless Sensor Networks

We investigate the data storage and query problem for object tracking applications in wireless sensor networks. We focus on how to query the object tracking and obtain the object position effectively. The main idea is to apply multiple access entries of a storage link which stores the detected events in local storage and maintain the relation of the sensed data. When an object moves across the sensing field, the detecting sensors can construct a virtual linked list with multiple access entries along the moving path of the object. The stored events can be extracted by tracing the linked list from any access entry to get the complete or partial tracking information. Performance analysis and simulation studies show that the proposed link-segment storage and query scheme is energy efficient and it keeps high query success ratio and low query latency.