Modelling communication capability and node reorientation in offshore communication network. (October 2020)

• Record Type: Journal Article
• Authors: Surendran, Simi; Ramesh, Maneesha Vinodini; Montag, Martin J.; Montresor, Alberto
• Is Part Of: Computers & electrical engineering. Volume 87(2020)
• Publication Date: 2020-10
• Subjects: Maritime communication -- Vehicular networks -- Communication capability -- Network connectivity -- Position reorientation -- Connectivity maintenance; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2020.106781
• Languages: English
• ISSNs: 0045-7906

Abstract

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.