Three dimensional intrusion objects detection under randomized scheduling algorithm in sensor networks

Wireless sensor networks are widely used for monitoring applications. The monitored area and the intrusion object are mostly three dimensional. In this paper, we are particularly interested in a sensor network used for monitoring afield to detect intrusion objects such as submarine in some sea area, or goods on shelves in warehouse. In these applications, sensors float in different depth of water or on different height of shelves in three dimensional situations. Since sensor nodes have limited energy supply, sensor networks may be configured to put some sensor nodes in sleep mode to save energy. This is a special case of a randomized scheduling algorithm. In this paper, we study the performance of several randomized scheduling algorithms in terms of intrusion coverage intensity when an intrusion object is considered to occupy a three dimensional space. We study the impact of the size of intrusion object on the sensor network's configuration.