An Energy Efficient Surveillance System for Wireless Sensor Networks

Report
Authors:He, Tian, Department of Computer ScienceUniversity of Virginia Krishnamurthy, Sudha, Department of Computer ScienceUniversity of Virginia Stankovic, John, Department of Computer ScienceUniversity of Virginia Abdelzaher, Tarek, Department of Computer ScienceUniversity of Virginia Yan, T, Department of Computer ScienceUniversity of Virginia Luo, L, Department of Computer ScienceUniversity of Virginia Dickey, R, Department of Computer ScienceUniversity of Virginia Stoleru, R, Department of Computer ScienceUniversity of Virginia
Abstract:

The miniaturization of sensor devices, combined with their ability to gather information about the physical environ- ment in which they are deployed, makes sensor nodes well- suited for unmanned reconnaissance missions. However, the software support required to use a wireless sensor net- work for this purpose is still lacking. In this paper, we de- scribe a complete framework we have designed that pro- vides the software support necessary for using wireless sen- sor networks for reconnaissance. The primary goal of this framework is to enable a sensor network to track objects in an energy-efficient and stealthy manner, with minimal false alarms. The framework minimizes false alarms by aggregat- ing the reports from a group of neighboring sensor nodes. It achieves energy-efficiency and stealthiness by placing the sensor nodes in a low power consuming state in the absence of external events, and by minimizing the number of mes- sages transmitted in that state. We have evaluated our im- plementation by deploying 70 nodes running our software in an open field. Our results show that for the configuration we used, the number of false alarms reduces to zero when the degree of in-network aggregation is 3. Our power man- agement strategy is capable of extending the lifetime of the sensor nodes by up to 900% when the nodes operate for an hour per day. The number of messages in the idle state is nearly zero, confirming the stealthiness of our power man- agement strategy.

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

He, Tian, Sudha Krishnamurthy, John Stankovic, Tarek Abdelzaher, T Yan, L Luo, R Dickey, and R Stoleru. "An Energy Efficient Surveillance System for Wireless Sensor Networks." University of Virginia Dept. of Computer Science Tech Report (2004).

Publisher:
University of Virginia, Department of Computer Science
Published Date:
2004