

Finite Energy Coverage Control with Limited Range Anisotropic Sensor for Mobile Sensor Networks
Abstract
based on gradient descent is also proposed to bring robots to the region of interest. Simulations illustrate the result.
References
S. Martinez, F. Bullo, J. Cortes, ”Motion coordination with distributed information,” IEEE Control Systems Magazine, Vol. 27, No.4, pp. 75-88, 2007.
Reza Olfati-Saber, J. Alex Fax, and Richard M. Murray, ”Consensus and Cooperation in Networked Multi-Agent Systems,” Proc. of the IEEE, Vol. 95,
No.1, pp. 215-233, 2007.
A. Gusrialdi, T. Hatanaka, and M. Fujita, ”Coverage Control for Mobile Networks with Limited-Range Anisotropic Sensors,” Proc. of the 47th IEEE
Conference on Decision and Control, pp. 4263-4268, 2008.
A. Kwok, and S. Martinez, ”Energy-balancing cooperative strategies for sensor deployment,” Proc. of the 47th IEEE Conference on Decision and Control, pp. 6136-6141, 2007.
K. Laventall, and J. Cortes, ”Coverage control by robotics network with limited-range anisotropic sensory,” Proc. of the American Control Conference, pp. 2666-2671, 2008.
A. Ohya, A. Kosaka, and A. Kak, ”Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing,” IEEE Transactions on Robotics and Automation, Vol. 14, No.6, pp. 969-978, 1998.
J. Cortes, S. Martinez, T. Karatas, F. Bullo, ”Coverage control for mobile sensing networks,” IEEE Transactions on Robotics and Automation, Vol. 20, No.2, pp. 243-255, 2004.
W. Li, and C.G. Cassandras, ”Distributed Cooperative Coverage Control of Sensor Networks,” IEEE Conference on Decision and Control, pp. 2542-2547, 2005.
DOI: http://dx.doi.org/10.21535%2FProICIUS.2010.v6.543
Refbacks
- There are currently no refbacks.