Expertise-Based Data Access in Content-Centric Mobile Opportunistic Networks

Abstract

Abstract-In mobile opportunistic networks, most existing research focuses on how to choose appropriate relays to carry and forward data. Although relay selection is an important issue, other issues such as finding content from people with the right expertise are also very important since the ultimate goal of using mobile opportunistic network is to provide the right content to mobile users (nodes). In this paper, we study expertise-based data access in content-centric mobile opportunistic networks, where the objective is to minimize the average query delay given a sequence of queries considering node expertise, node queuing delay and communication delay. To solve this problem, we propose various query forwarding approaches under deterministic and probabilistic expertise models. Specifically, we propose centralized approaches to assign queries based on a modified Dijkstra's shortest path algorithm and distributed approaches in which query forwarding is based on a utility metric. Extensive simulations on both synthetic and realistic traces demonstrate that our solutions outperform existing approaches.

On‐demand data forwarding in mobile opportunistic networks: backbone‐based approach

“…cellular towers or base stations), but more importantly, also brought about the emergence of infrastructure‐free mobile networks, e.g. mobile opportunistic networks [1], which rely on the device‐to‐device communication between mobile devices through their short‐range communication interfaces, such as Bluetooth or Wi‐Fi Direct. Since mobile opportunistic networks do not rely on the support of network infrastructures, they have been mostly utilised to facilitate network connections when connections to network infrastructures become (i) constrained or unavailable, e.g.…”