Energy-efficient surveillance system using wireless sensor networks

The focus of surveillance missions is to acquire and verify information about enemy capabilities and positions of hostile targets. Such missions often involve a high element of risk for human personnel and require a high degree of stealthiness. Hence, the ability to deploy unmanned surveillance missions, by using wireless sensor networks, is of great practical importance for the military. Because of the energy constraints of sensor devices, such systems necessitate an energy-aware design to ensure the longevity of surveillance missions. Solutions proposed recently for this type of system show promising results through simulations. However, the simplified assumptions they make about the system in the simulator often do not hold well in practice and energy consumption is narrowly accounted for within a single protocol. In this paper, we describe the design and implementation of a running system for energy-efficient surveillance. The system allows a group of cooperating sensor devices to detect and track the positions of moving vehicles in an energy-efficient and stealthy manner. We can trade off energy-awareness and surveillance performance by adaptively adjusting the sensitivity of the system. We evaluate the performance on a network of 70 MICA2 motes equipped with dual-axis magnetometers. Our results show that our surveillance strategy is adaptable and achieves a significant extension of network lifetime. Finally, we share lessons learned in building such a complete running system.

[1]  Kay Römer,et al.  Wireless sensor networks: a new regime for time synchronization , 2003, CCRV.

[2]  Robert Szewczyk,et al.  System architecture directions for networked sensors , 2000, ASPLOS IX.

[3]  Gang Zhou,et al.  Impact of radio irregularity on wireless sensor networks , 2004, MobiSys '04.

[4]  John A. Stankovic,et al.  Radio-triggered wake-up capability for sensor networks , 2004, Proceedings. RTAS 2004. 10th IEEE Real-Time and Embedded Technology and Applications Symposium, 2004..

[5]  Sang Hyuk Son,et al.  USENIX Association Proceedings of MobiSys 2003 : The First International Conference on Mobile Systems , Applications , and Services , 2003 .

[6]  Robert Tappan Morris,et al.  Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks , 2001, MobiCom '01.

[7]  Tarek F. Abdelzaher,et al.  AIDA: Adaptive application-independent data aggregation in wireless sensor networks , 2004, TECS.

[8]  M. Horton MICA: The Commercialization of Microsensor Motes , 2002 .

[9]  John A. Stankovic,et al.  Di erentiated Surveillance Service for Sensor Networks , 2003 .

[10]  David E. Culler,et al.  The nesC language: A holistic approach to networked embedded systems , 2003, PLDI.

[11]  Wei Hong,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks , 2022 .

[12]  Guoliang Xing,et al.  Integrated coverage and connectivity configuration in wireless sensor networks , 2003, SenSys '03.

[13]  R. A. Powers Batteries for low power electronics , 1995, Proc. IEEE.

[14]  Di Tian,et al.  A node scheduling scheme for energy conservation in large wireless sensor networks , 2003, Wirel. Commun. Mob. Comput..

[15]  Randy H. Katz,et al.  Next century challenges: mobile networking for “Smart Dust” , 1999, MobiCom.

[16]  Tian He,et al.  Differentiated surveillance for sensor networks , 2003, SenSys '03.

[17]  Tarek F. Abdelzaher,et al.  Energy-conserving data placement and asynchronous multicast in wireless sensor networks , 2003, MobiSys '03.

[18]  Philip Levis,et al.  TOSSIM: A Simulator for TinyOS Networks , 2003 .

[19]  Tarek F. Abdelzaher,et al.  Range-free localization schemes for large scale sensor networks , 2003, MobiCom '03.

[20]  Songwu Lu,et al.  PEAS: a robust energy conserving protocol for long-lived sensor networks , 2002, 10th IEEE International Conference on Network Protocols, 2002. Proceedings..

[21]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[22]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[23]  Feng Zhao,et al.  Information-driven dynamic sensor collaboration , 2002, IEEE Signal Process. Mag..

[24]  Songwu Lu,et al.  PEAS: a robust energy conserving protocol for long-lived sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[25]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.