FSCN: a novel forwarding method based on Shannon entropy and COPRAS decision process in named data networking

摘要

The appropriate output interface (forwarding) has recently emerged as a key challenge affecting the performance of Named Data Networking (NDN). Regarding this matter, a novel strategy is presented based on the COPRAS (Complex Proportional Assessment) Decision-Making Process with the dynamic weighting of Shannon's entropy called FSCN for transmitting request packets through the optimal output interface. The essential parameters identified in the suggested approach such as bandwidth, delay, and the number of hops can be dynamically weighted using the Shannon entropy technique and conditions. Then, the interfaces are scored using the COPRAS method, and the suitable output interface is ascertained. The advantages of the proposed method include considering influential criteria to characterize the path's performance and the dynamic weighting of criteria. The simulation outcomes in ndnSIM demonstrated enhancements in critical parameters, including interest throughput, satisfaction ratio, packet drop, and delivery time when compared to similar approaches.