A higher capability sensor node platform suitable for demanding applications

IPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks

Volumn , Issue , 2007, Pages 138-147

  Hammel, Thomas ^a   Rich, Mark ^a  

^a Fantastic Data   (United States)

Author keywords

Low power wireless systems; Mesh networking; Networking protocols; Wireless sensor network

Indexed keywords

LOW POWER WIRELESS SYSTEMS; MESH NETWORKING; NETWORKING PROTOCOLS;

AUTONOMOUS AGENTS; COMPUTER SIMULATION; COMPUTER SOFTWARE; ENERGY UTILIZATION; SCHEDULING; SECURITY SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 35348835958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1236360.1236379     Document Type: Conference Paper

References (18)

1. Arora, A., Dutta, P., Bapat, S., Kulathumani, V., Zhang, H., Naik, V., Mittal, V., Cao, H., Demirbas, M., Gouda, M., Choi, Y-R., Herman, T., Kulkami, S. S., Arumugam, U., Nesterenko, M., Vora, A. and Miyashita, M. A Line in the sand: A wireless sensor network for target detection, classification, and tracking. Computer Networks (Elsevier),46, 5, 2004, 605-634.
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. Hill, J., Culler, D., Mica: A wireless platform for deeply embedded networks, IEEE Micro, 22, 6, (2002) 12-24.
8. Hill, J., Horton, M., Kling, R., Krishamurthy, L., The platforms enabling wireless sensor networks, Communications of the ACM, 47, 6 (June 2004), 41-46.
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. Langendoen, K., Reijers, N., Distributed localization in wireless sensor networks: a quantitative comparison, Computer Networks, special issue on Wireless Sensor Networks, 2, (2003).
11. Ledeczi et al., Countersniper system for urban warfare, ACM Transactions on Sensor Networks, 2, (Nov 2005), 153-177.
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. Mclntire, 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. Nachman, L., Kling, R., Adler, R., Huang, J., Hummel, V., 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, USA, 2005) 61.
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.