Applying Reputation to Virtual Magnetic Networks

Abstract

Virtual Magnetic Fields are self-organizing message forwarding mechanisms that are capable of delivering messages to specific nodes according to some aspects concerning the application semantics. Considering that virtual magnetic networks are open distributed systems, malicious or defective nodes may affect negatively the functioning of the entire network. This paper proposes two reputation-based methods to mitigate this issue. The results obtained from the application of both methods to different simulation scenarios show their effectiveness in reducing the impact of misbehaving nodes.