Optimization of update intervals in Dead-Peer-Detection using adaptive Fuzzy Logic

Abstract

Internet is major communication media and staying "online" becomes a key requirement. Commonly, the broadband access and enterprise networks involve devices with dynamic NAPT(NAT) and statefull firewalls functionality. Keeping open connection behind such an intermediate device is not a trivial task. The intermediate device closes the connection without sending any notify to participants. Until proactively detaching the change of connection status, all send packets get lost. Most applications involve deed-peer-detection mechanisms to verify the host availability, thus if the connection is active. The fast detection of connection lost is vital for the application and therefore short constant dead-peer-detection intervals are used. The update interval is a tradeoff between the network resources and fast detection of disconnection. The interval values are currently constant and set based on the general network experience and application requirements. In this paper is suggested a new framework for dynamic optimization of the update intervals in respect of fast disconnection detection and low network resources. The key idea is to make the update interval proportional to the probability of connection drop. The main issue is that the time point of disconnection can only be narrowed down to certain update interval, the exact time point can not be determined by the hosts. The proposed solution is based on adaptive Fuzzy Logic. The simulation results are presented to verify the performance of the new method. The optimization is relevant for wide spectrum of applications, like VoIP, routing, security protocols etc.