期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：4
页码：1231-1238
出版社：Journal of Theoretical and Applied
摘要：The Linear Sensor Networks (LSNs) have gained much attention of the researchers due to their several positive aspects including easy deployment for linear structures and robustness in various environments. Although, such types of LSNs are suitable for many applications and scenarios but considered ideal for oil, gas, and water pipeline monitoring. In the previous studies, Autonomous Underwater Vehicles (AUVs) are used to receive data from every sensor on the LSNs which leads to longer delays and routing overhead. Also, only homogeneous sensors have been considered in the previous studies, which is not realistic in the real life scenario of sensor deployment. This research focuses on heterogeneous LSNs to monitor underwater pipelines where data is collected from the sensor nodes and transmitted to a surface sink using an AUV. In proposed network architecture which is called AUV Path Planning-based Efficient Routing (APPER), AUV only receives data from sensor nodes with higher resources, hence leads to balance the nodes resources ultimately helping to increase the network life. The impact of AUV usage is high unlikely pure multi-hop approaches as other than offering reduced delays and better delivery ratio with better network lifetime, most importantly it can be extended for hundreds of kilometers. Simulation results exhibit that APPER achieved improved network performance in terms of network topology distribution, packet delivery ratio, end-to-end delays, and routing overhead as compared to the existing routing techniques including Dynamic Addressing Routing Protocol for Pipeline Management (DARP-PM) and AUV-based Linear Sensor Networks (ALSN) respectively.
关键词：Underwater Pipelines Monitoring; Autonomous Underwater Vehicles (Auvs); Linear Sensor Networks; Heterogeneous Node Deployment; Data Forwarding
