Edge Caching via Content Offloading in Heterogeneous Mobile Opportunistic Networks
Chenyang Wang, Wenkai Li, Li Ding, Mingyang Song, Chen Dong, Xiaofei Wang · 2018
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.