Abstract

This paper introduces a decentralized control scheme for deploying multiple mobile robots into an unknown realistic environment with the fluctuating signal propagation condition to establish and maintain desired wireless communication connections. A fuzzy neural network controller is designed for each robot, trained by the backpropagation algorithm, and applied to decide the motion for each robot, based on perceived wireless link quality. The simulation results show that the proposed scheme can establish and maintain effective communication coverage under the documented path loss exponents and uncertainties, and cause the average link quality to converge towards the desired range.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.