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Edge Caching via Content Offloading in Heterogeneous Mobile Opportunistic Networks

机译：边缘缓存通过内容卸载异构移动机会化网络

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Content transmission over Mobile Opportunistic Networks is in the manner of “store-carry-forward” due to opportunistic contacts between node pairs. Most of the existing works focus on the “forward” process rather than how to “store” content in the network. Moving contents to the edge of network can significantly offload network traffic while satisfying content requests from mobile users locally. In this paper, considering the preference of nodes for different content items, we propose Fetcher Selection Greedy Algorithm (FSGA), a novel strategy to select a subset of nodes for cooperative caching scheme by evaluating each node utility in the network. To improve the cooperative caching opportunity and reduce the traffic pressure of core network, we introduce the Heterogeneous Mobile Opportunistic Networks (HMONs)architecture by deploying an Access Point (AP)which is acting as a bridge to connect the core network and mobile nodes. The mobile nodes in HMONs are segmented into two kinds, one is called Fetchers which are responsible for caching content from AP then forwarding them to the other ones, and the other mobile nodes are Regulars. We formulate and analyze the average content transmission delay in different transmission conditions. Finally, our experiment results indicate that the cooperative caching scheme improves the network performance.
机译：由于节点对之间的机会主义联系，移动机会主义网络对移动机会主义网络的内容传输是“商店上前进”的方式。大多数现有工作都侧重于“前进”过程，而不是如何在网络中“存储”内容。将内容移动到网络边缘，可以显着卸载网络流量，同时满足来自本地移动用户的内容请求。在本文中，考虑到不同内容项的节点的偏好，我们提出了获取选择贪婪算法（FSGA），通过评估网络中的每个节点实用程序来选择用于协作缓存方案的节点子集的新策略。为了提高合作缓存机会并降低核心网络的交通压力，我们通过部署作为连接核心网络和移动节点的桥梁的接入点（AP）来介绍异构移动机会主义网络（HMONS）架构。 HMONS中的移动节点被分为两种，称为获取器，该提取器负责从AP缓存内容，然后将它们转发到另一个，而另一个移动节点是常规的。我们制定和分析不同传输条件的平均内容传输延迟。最后，我们的实验结果表明，合作缓存方案提高了网络性能。

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