In this paper, we propose an adaptive congestion control protocol (ACCP) which is divided into two phase to control network congestion before affecting network performance. In the first phase, we employ the time series prediction model based on deep learning to predict the source of congestion for each node.
Mar 5, 2018
In this paper, we propose an adaptive congestion control protocol (ACCP) which is divided into two phase to control network congestion before affecting network ...
This paper develops an Adaptive Congestion Control Protocol in NDN (ACCPndn) by learning capacities in two phases to control congestion traffics before they ...
Missing: ACCP: deep
Simulation experiment results show that our proposed ACCP scheme has better performance than ICP and CHoPCoP in terms of the high utilization and minimal packet ...
Mar 5, 2018 · In this paper, we propose an adaptive congestion control protocol (ACCP) which is divided into two phase to control network congestion before�...
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Apr 30, 2015 · Abstract. Named Data Networking (NDN) is a promising network architecture being considered as a possible replacement for.
Jun 15, 2024 · This paper conducts thorough research on the related work of congestion control in NDN, provides a detailed overview of existing research efforts in NDN ...
The congestion control objective for NDN is redefined, which considers requirements diversities for different contents, and an efficient congestion control ...
It also proposes some criteria for categorising existing congestion control solutions for NDN-based MANETs and discusses the advantages and disadvantages of ...
... ACCP: adaptive congestion control protocol in named data networking based on deep learning. Neural Comput Appl 31:4675–4683. Fig. 10 Losses of packets by ...