A QoS-supported Multi-constrained Routing Strategy Based on Ant-Colony Optimization for Named Data Networking

Abstract

Named data networking (NDN) is a typical representation and implementation of content-centric networking (CCN) and serves as a basis for the next-generation Internet. To the best of our knowledge, very few studies have considered multi-metric constraints on routing strategies. Therefore, This paper proposes a multi-constrained routing strategy based on ant-colony optimization (ACO) to satisfy the multi-metric requirements for supporting the QoS of NDN. In the proposed routing strategy, namely ACO-McQoS, bandwidth, delay, and cost are defined as metrics. An optimal combination of these metrics is chosen to accommodate different QoS requests. An extensive simulation is conducted among the shortest path routing, maximum bandwidth path routing, random path routing, and ACO-McQoS. The simulation results show that the proposed routing strategy outperforms other.