Ant Colony Based Forwarding Method for Content-Centric Networking
Ant Colony Based Forwarding Method for Content-Centric Networking
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DOI：
10.1109/waina.2013.35
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发表时间：
2013-03
期刊：
影响因子：
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通讯作者：
Chengming Li;K. Okamura;Wenjing Liu
中科院分区：
文献类型：
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作者：
Chengming Li;K. Okamura;Wenjing Liu
以内容为中心的网络最近作为一种重新思考互联网基础的全新方法而出现，它从以主机为中心的通信模型转变为以内容为中心的模型。然而，主要挑战之一是支持多路径上的智能兴趣转发，同时保持可扩展性和移动性。为了应对这一挑战，本文在我们前期工作的基础上提出了一种基于领域的智能转发方法。我们将网络划分为多个域。我们采用基于ISP的聚合来减少内容命名空间，并使用基于域的贪婪蚁群转发（GACF）算法来支持数据包的智能转发。 GACF中有两种蚂蚁，它们在域间转发和域内转发上采取不同的策略。 GACF算法是动态复杂网络中的服务质量感知转发算法。评估结果证明我们的建议提高了以内容为中心的网络的成本效率和可扩展性。
Content-Centric Networking has recently emerged as a clean slate approach to rethink Internet foundations, which changes from host-centric communication model to content-centric model. However, one of the major challenges is supporting intelligent forwarding of Interests over multiple paths while keeping scalability and mobility. To address this challenge, this paper proposed an domain-based intelligent forwarding method based on our previous work. We divided the network into multiple domains. We adopted the ISP-based aggregation to reduce the content naming space and used a domain-based Greedy Ant Colony Forwarding (GACF) algorithm to support intelligent forwarding of packets. There are two kinds of ants in GACF which take different policies in the Inter-domain Forwarding and the Intra-domain Forwarding. The GACF algorithm is a Quality of Service aware forwarding algorithm in the dynamic complex network. The results of the evaluation prove that our proposals improve the cost-efficiency and scalability for content-centric networking.