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A cross layer UWSN architecture for marine environment monitoring

机译：用于海洋环境监控的跨层UWSN架构

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Underwater sensor networks (UWSN) transpires as a powerful technique in marine monitoring that includes various applications such as oceanographic data collection, marine surveillance and pollution detection. Localization in UWSN is very challenging as the sensor nodes are in a 3D space and are always in passive movement. Thus providing scalable and efficient energy aware routing services and localization schemes has always been provocative. Depth based routing (DBR) is one of the routing protocols that has been in use to attend to the existing constraints of UWSN. Unlike most of the routing protocols that require full dimensional location information of the sensor nodes, DBR needs only the depth information for routing. Also an energy-efficient game theoretic model based on Single-leader-multi-follower Stackelberg game that follows a socially optimal Stackleberg-Nash-Cournot Equilibrium has been in use for topology control of unlocalized and localized sensor nodes that are closed to the surface. A cross layer UWSN architecture for marine environment monitoring is proposed that uses the adaptive neuro fuzzy based interference system to determine the depth of the sensor nodes and the game theoretic model for localization of the sensor nodes at the upper hull of the sea. Using the depth DBR protocol reports the events to the localized sensor nodes that are close to the sea surface which in turn forwards the reported events to the sink. This cross layer UWSN architecture proves to be energy efficient and apt for marine environment monitoring. The architecture is structured and simulated in Aqua-Sim.
机译：水下传感器网络（UWSN）作为一种强大的海洋监测技术而得以应用，包括海洋数据收集，海洋监测和污染检测等各种应用。由于传感器节点位于3D空间中并且始终处于被动移动状态，因此UWSN中的定位非常具有挑战性。因此，提供可扩展且有效的能量感知路由服务和本地化方案一直是具有挑战性的。基于深度的路由（DBR）是已用于满足UWSN现有限制的路由协议之一。与大多数需要传感器节点的完整维度位置信息的路由协议不同，DBR只需要深度信息即可进行路由。此外，基于社会最优的Stackleberg-Nash-Cournot均衡的基于单领导者多跟随者Stackelberg游戏的高能效游戏理论模型已用于对靠近地面的非局部和局部传感器节点进行拓扑控制。提出了一种用于海洋环境监测的跨层UWSN体系结构，该体系结构使用基于自适应神经模糊的干扰系统来确定传感器节点的深度以及用于将传感器节点定位在海面上壳的博弈理论模型。使用深度DBR协议将事件报告给靠近海面的本地传感器节点，然后将报告的事件转发给接收器。这种跨层的UWSN架构被证明是高能效的，适用于海洋环境监控。该架构在Aqua-Sim中进行了结构化和仿真。

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