|
Warning: The download time has expired please click on the item to try again.
ABSTRACT
A novel, autonomous, fully distributed sensor node platform designed and built for a continuous, wide-area surveillance and security system is described. Sensor nodes cooperate to detect and track intruders in the surveilled area. Analysis and simulation of the surveillance system indicates that while considerably more capability is required in many aspects (processing power, memory, latency, communication range, and so on) than is currently available in common "mote" designs, performance, energy consumption, node lifetime, and ease of use are enhanced by this approach. Because higher capability components are used, more careful scheduling and power control software is required to mitigate the impact on energy consumption. A full software suite was developed and instrumented to record true system usage during operation of the surveillance system. Measurements of actual usage have been made on a moderately oversized prototype platform. A second generation platform has been designed based on the measured usage data. The software suite is being ported to this platform. Lifetime of the second generation platform running the demanding surveillance application is expected to be about 90 days on 2 AA batteries (3000mAh at 1.5V). Applications with less stringent requirements should enjoy much longer lifetimes.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
A. Arora , P. Dutta , S. Bapat , V. Kulathumani , H. Zhang , V. Naik , V. Mittal , H. Cao , M. Demirbas , M. Gouda , Y. Choi , T. Herman , S. Kulkarni , U. Arumugam , M. Nesterenko , A. Vora , M. Miyashita, A line in the sand: a wireless sensor network for target detection, classification, and tracking, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.46 n.5, p.605-634, 5 December 2004
[doi> 10.1016/j.comnet.2004.06.007]
|
| |
2
|
Brooks, R., Griffin, C., Friedlander, D., Self-Organized Distributed Sensor Network Entity Tracking. International Journal of High Performance Computing Applications, 16, 3, (2002), 207--219.
|
| |
3
|
Crossbow Micaz Data Sheet, Crossbow Document Part Number: 6020-0060-03 Rev A, www.xbow.com.
|
| |
4
|
Dust Networks' M2030 Data Sheet, www.dust-inc.com.
|
| |
5
|
Hammel, T., Rich, M., Graff, C. Design of a Sensor Protocol Suite for VLSI Implementation. In Military Communications Conference, 2005 (MILCOM 2005) (Atlantic City, NJ, October 20, 2005). IEEE Press, 2005, Vol. 4, 2421--2426.
|
| |
6
|
Hammel, T.,Yetso, B., and Rogers, T., Fusing live sensor data into situational multimedia views. In Proceedings of the 9th International Workshop on Multimedia Information Systems (Ischia, Italy, 2003). 2003, 145--156.
|
| |
7
|
|
 |
8
|
|
| |
9
|
IEEE Std 802.15.4™ 2003, Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs), 1 October 2003, ISBN 0-7381-3677-5 SS95127.
|
| |
10
|
|
 |
11
|
Ákos Lédeczi , András Nádas , Péter Völgyesi , György Balogh , Branislav Kusy , János Sallai , Gábor Pap , Sebestyén Dóra , Károly Molnár , Miklós Maróti , Gyula Simon, Countersniper system for urban warfare, ACM Transactions on Sensor Networks (TOSN), v.1 n.2, p.153-177, November 2005
[doi> 10.1145/1105688.1105689]
|
| |
12
|
Li, D., Wong, K., Hu Y., Sayeed, A., Detection, Classification and tracking of targets in distributed sensor networks, IEEE Signal Processing Magazine, 19, 2, (March 2002) 17--29.
|
| |
13
|
Merrill, W., Sohrabi, K., Girod, L., Elson, J., Newberg, F., Kaiser, W., Open Standard Development Platforms for Distributed Sensor Networks, Proceedings of SPIE Aero Sense Conference 2002.
|
| |
14
|
McIntire, D. Energy Benefits of 32-bit Microprocesor Wireless Sensing Systems. Technical Note, Sensoria Corporation, Culver City, California.
|
| |
15
|
Morton, G., MSP430 Competitive Benchmarking, Texas Instruments Application Report SLAA205A, January 2005.
|
| |
16
|
Lama Nachman , Ralph Kling , Robert Adler , Jonathan Huang , Vincent Hummel, The Intel® Mote platform: a Bluetooth-based sensor network for industrial monitoring, Proceedings of the 4th international symposium on Information processing in sensor networks, April 24-27, 2005, Los Angeles, California
|
| |
17
|
Oh, S., Chen, P., Manzo, M., and Sastry, S. Instrumenting Wireless Sensor Networks for Real-time Surveillance. In Proc. of the International Conference on Robotics and Automation (Orlando, FL, May 2006).
|
| |
18
|
Zigbee Specification, ZigBee Document 053474r06, Version 1.0 December 14th, 2004.
|
|