  With the multi-dimensional exploration towards oceans, enormous sensing data
has been generated with significant volume, velocity, variety and
heterogeneity. The resulted 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, extremely suffer from
short coverage, low bandwidth, insecurity, and unavailable cross-domain
transmission. In this paper, Resilient Vessel Network (RVN) is proposed to
fundamentally enhance BMD transmission. RVNs with widespread self-organized
vessels and opportunistic connections reveal advantages of ubiquity,
resilience, low cost and cross-domain transmission. To efficiently manage
opportunistic vessel-to-vessel (V2V) connections for optimal routing, Social
Network Analysis (SNA) on 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.
