Enhancing Marine Data Transmission with Socially Aware Resilient Vessel Networks

With multi-dimensional exploration toward oceans, enormous sensing data has been generated with significant volume, velocity, variety, and heterogeneity. The resulting big marine data (BMD) thus issue unprecedented architectural challenges on existing marine communication systems. Current dominant marine communication technologies (e.g., shore-based cellular stations, high frequency radio, and expensive satellites) suffer extremely from short coverage, low bandwidth, insecurity, and unavailable cross-domain transmission. In this article, a resilient vessel network (RVN) is proposed to fundamentally enhance BMD transmission. RVNs with widespread self-or- ganized vessels and opportunistic connections reveal advantages of ubiquity, resilience, low cost, and cross-domain transmission. To efficiently manage opportunistic vessel-to-vessel connections for optimal routing, social network analysis of historical vessel interactions is applied for vessel familiarity measurement and community detection. The performance of the proposed community-based routing (CBR) is comprehensively evaluated with real datasets of fishing vessel trajectories. It is demonstrated that CBR achieves much lower transmission cost with comparable delivery ratio compared to typical routing algorithms.