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Modelling communication capability and node reorientation in offshore communication network
Computers & Electrical Engineering ( IF 4.0 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.compeleceng.2020.106781
Simi Surendran , Maneesha Vinodini Ramesh , Martin J. Montag , Alberto Montresor

Abstract Lack of reliable and affordable mechanisms to communicate with the shore is one of the critical problems faced by fishermen engaged in deep-sea fishing. Offshore Communication Network (OCN) is an attempt to solve this issue by providing wireless internet over the ocean among a network of fishing vessels. A key challenge in OCN is the effective connectivity maintenance and restoration among nodes, due to the unpredictable characteristics of the ocean environment, the mobility, and density variations in the distribution of the fishing vessels. This paper proposes a metric, dynamic connectivity index (DCI), to quantify the communication capability of nodes, and to facilitate reorientation of node positions, for maintaining connectivity. The proposed position reorientation algorithm (PRA) is designed by considering the communication requirements and mobility pattern of fishing vessels. This paper details the results of simulation studies used for evaluating the effectiveness of the DCI and PRA over different OCN scenarios.

中文翻译:

海上通信网络通信能力建模与节点重定向

摘要 缺乏可靠且负担得起的与岸边通信的机制是从事深海捕鱼的渔民面临的关键问题之一。近海通信网络 (OCN) 试图通过在渔船网络之间的海洋上提供无线互联网来解决这个问题。由于海洋环境的不可预测性、流动性和渔船分布的密度变化,OCN 的一个关键挑战是节点之间的有效连接维护和恢复。本文提出了一个度量,动态连接指数(DCI),以量化节点的通信能力,并促进节点位置的重新定位,以保持连接。所提出的位置重定向算法(PRA)是通过考虑渔船的通信要求和移动模式设计的。本文详细介绍了用于评估 DCI 和 PRA 在不同 OCN 场景中的有效性的模拟研究结果。
更新日期:2020-10-01
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