Abstract

Two distributed asynchronous drift estimation algorithms for time synchronization in networks with random communication delays and measurement noise are proposed. The algorithms are superior to similar existing methods. Convergence of the algorithms to consensus in the mean square sense and w.p.1 is proved. Rate of convergence of the algorithms is analyzed. It is also shown that the algorithms can be applied as flooding algorithms, with one reference node. Illustrative simulation results are also given.

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.