Abstract
Dynamic sensor networks applied as health-monitoring assistance systems require a constant supervision to assure the availability of essential network channels during emergencies. Topology changes due to connection and hardware failures have to be observed and reacted to. For that, an algorithm is needed that monitors topology changes within the network automatically without human interaction. The Fiedler vector is a powerful heuristic for topology inference, e.g. to detect communication bottlenecks. Current algorithms for the distributed calculation of the Fiedler vector do not consider topology changes. In this paper, we provide a stable algorithm for the distributed, indulgent derivation of the Fiedler vector which is applicable within dynamic networks. Simulation results show its robustness to topology changes.
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 callDisclaimer: 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.
