Autonomous Target Interception Using Hybrid Sensor Networks

Wenzhe Zhang, Yihuai Wang, Ying Li, Minglu Li

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DOI: 10.4236/ica.2011.23024                

Abstract

Hybrid sensor networks (HSNs) comprise of mobile and static sensor nodes setup for purpose of collaboratively performing tasks like sensing a phenomenon or monitoring a region. In this paper, we present target interception as a novel application using mobile sensor nodes as executor. Static sensor nodes sense, compute and communicate with each other for navigation. Mobile nodes are guided to intercept target by the static nodes nearby. Our approach does not require any prior maps of the environment thus, cutting down the cost of the overall energy consumption. As to multi-targets multi-mobile nodes case, we present a PMB algorithm for task assignment. Simulation results have verified the feasibility and effectiveness of our approach proposed.

Keywords

Target, Hybrid Sensor Networks; Interception, CoS, Intercepting Strategy, PMB Task Assignment

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	E. Biagioni and K. Bridges, “The Application of Remote Sensor Technology to Assist the Recovery of Rare and Endangered Species,” International Journal of High Performance Computing Applications, Vol. 16, No. 3, 2002, pp. 315-324. doi:10.1177/10943420020160031001
[2]	M. A. Batalin, G. S. Sukhatme and M. Hattig, “Mobile Robot Navigation Using a Sensor Network,” Proceedings of the IEEE International Conference on Robotics and Automation, New Orleans, April 2003, pp. 636-642.
[3]	J. Borenstein and H. R. Everett, “Navigating Mobile Robots: Sensors and Techniques,” A. K. Peters Ltd., Wellesley, 1992.
[4]	Q. Li, M. D. Rosa and D. Rus, “Distributed Algorithms for Guiding Navigation across a Sensor Network,” Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, San Diego, 2003, pp. 313-325.
[5]	A. J. Briggs, C. Detweiler, D. Scharstein and A. Vandenberg-Rodes, “Expected Shortest Paths for Landmark- Based Robot Navigation,” International Journal of Robotics Research, Vol. 23, No. 7-8, July 2004, pp. 717-728. doi:10.1177/0278364904045467
[6]	A. Verma, H. Sawant, J. Tan, “Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network,” Proceedings of Third IEEE International Conference on Pervasive Computing and Communications, Pisa, March 2005, pp. 41-50.
[7]	J. Borenstein and Y. Koren, “The Vector Field Histogram-Fast Obstacle Avoidance for Mobile Robots,” IEEE Journal of Robotics and Automation, Vol. 7, No. 3, 1991, pp. 278-288. doi:10.1109/70.88137
[8]	J. Liu, J. Liu, M. Chu, J. E. Reich and F. Zhao, “Distributed State Representation for Tracking Problems in Sensor Networks,” Proceedings of third Workshop on Information Processing in Sensor Networks (IPSN), New York, April 2004, pp. 234-242.doi:10.1145/984622.984657
[9]	J. Liu, J. Liu, J. Reich, P. Cheung and F. Zhao, “Distributed Group Management for Track Initiation and Maintenance in Target Localization Applications,” Proceedings of 2nd Workshop on Information Processing in Sensor Networks (IPSN), Berlin, April 2003, pp. 113-128.
[10]	S. Meguerdichian, F. Koushanfar, G. Qu and I. Potkonjak, “Exposure in Wireless Ad-Hoc Sensor Networks,” Proceedings of 7th Annual International Conference on Mobile Computing and Networking, New York, July 2001, pp. 139-150.
[11]	S. Oh, L. Schenato and S. Sastry, “A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks,” Proceedings of the International Conference on Robotics and Automation, Barcelona, April 2005, pp. 2197- 2202.
[12]	L. Schenato, S. Oh, P. Bose and S. Sastry, “Swarm Coordination for Pursuit Evasion Games Using Sensor Networks,” Proceedings of the International Conference on Robotics and Automation, Padova, April 2005, pp. 2493-2498. doi:10.1109/ROBOT.2005.1570487
[13]	J. P. Hespanha, H. J. Kim and S. S. Sastry, “Multiple-Agent Probabilistic Pursuit-Evasion Games,” Proceedings of the IEEE International Conference on Decision and Control, Phoenix, 1999, pp. 2432-2437.