论文标题
通过具有社会意识的弹性血管网络增强海洋数据传输
Enhancing Marine Data Transmission with Socially-Aware Resilient Vessel Networks
论文作者
论文摘要
随着对海洋的多维探索，已经产生了巨大的感应数据，其体积，速度，多样性和异质性很大。因此，由此产生的大型海洋数据（BMD）就现有的海洋通信系统提出了前所未有的建筑挑战。当前的主要海洋通信技术，例如基于海岸的蜂窝站，高频收音机和昂贵的卫星，极度覆盖范围，低覆盖率，低带宽，不安全感和无法获得的跨域变速箱。在本文中，提出了弹性血管网络（RVN），以从根本上增强BMD的传播。具有广泛自组织的船只和机会性连接的RVN揭示了无处不在，弹性，低成本和跨域传播的优势。为了有效管理机会主义的船只到船尾（V2V）连接，以实现最佳路由，将社交网络分析（SNA）用于历史船舶相互作用，以用于船舶熟悉度测量和社区检测。拟议的基于社区的路由（CBR）的性能通过渔船轨迹的实际数据集进行了全面评估。证明，与典型的路由算法相比，CBR的传输成本低得多，交付率可比。
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.
