Advances, Systems and Applications
Ref | Methods | Findings |
---|---|---|
Hasan, et al.2019 [30] | New Information Centric Networking (ICN) paradigm | Increased content availability, reduced transfer time and packet loss ratio |
Liu, et al.2019 [27] | Q-Learning based content placement algorithm | Better routing decisions, reduced local and nonlocal congestion information |
Asheralieva, Aet al.2021 | Lyapunov optimization algorithm | Reliable information sharing, minimized data transfer cost and latency |
Chen, et al.2019 [23] | Greedy algorithm | Enhanced Quality of Experience (QoE), reduced transmission delay, and enabled multiple content delivery |
Sadeghi, et al.2019 [25] | Deep reinforcement learning algorithm | Increased complexity in system design, and low efficiency |
Sinky,H et al. 2019 [26] | Content centric framework using collaborative filtering theory | Optimized storage capability of node, and minimized delay in transmission |
Alghamdi, et al.2019 [28] | Optimized Link State Routing (OLSR) for CDN | Increased scalability and efficiency |