The harsh testing environments of underwater scenarios make it extremely hard to plan a reasonable routing protocol for Underwater Sensor Networks (UWSNs). The main challenge in UWSNs is energy confinement. It is needed to plan an energy effective scheme which increases the life span of the network and also reduces the energy usage in data transfer from supplier to sink. In this research, we present the design of a routing protocol known as Energy Harvesting in UWSN (EH-UWSN). EH-UWSN is a compact, energy efficient, and high throughput routing protocol, in which we present utilization of energy gaining with coordinating transfer of data packets through relay nodes. Through Energy Harvesting, the nodes are capable to recharge their batteries from the outside surrounding with the ultimate objective to improve the time span of network and proceed data through cooperation, along with restricting energy usage. At the sink node, the mixing plan applied is centered on Signal-to-Noise Ratio Combination (SNRC). Outcomes of EH-UWSN procedure reveal good results in terms of usage of energy, throughput, and network life span in comparing with our previous Cooperative Routing Scheme for UWSNs (Co-UWSN). Simulation results show that EH-UWSN has consumed considerably lesser energy when compared with Co-UWSN along with extending network lifetime and higher throughput at the destination.

中文翻译：

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EH-UWSN：使用能量收集的UWSN改进的协作路由方案

水下场景的苛刻测试环境使为水下传感器网络（UWSN）规划合理的路由协议变得极为困难。UWSN的主要挑战是能源限制。需要计划一种节能方案，该方案可以延长网络的使用寿命，并减少从供应商到接收者的数据传输中的能源消耗。在这项研究中，我们介绍了称为UWSN中的能量收集（EH-UWSN）的路由协议的设计。EH-UWSN是一种紧凑，高能效，高吞吐量的路由协议，在此协议中，我们介绍了能量获取的利用以及协调通过中继节点的数据包传输。通过能量收集，节点能够从外部为电池充电，其最终目的是缩短网络时间跨度，并通过合作进行数据处理，同时限制能耗。在宿节点，应用的混合计划以信噪比组合（SNRC）为中心。与我们以前的UWSN协作路由方案（Co-UWSN）相比，EH-UWSN过程的结果在能耗，吞吐量和网络寿命方面显示出良好的结果。仿真结果表明，与Co-UWSN相比，EH-UWSN消耗的能源少得多，并且网络寿命更长，目的地的吞吐量更高。与我们以前的UWSN协作路由方案（Co-UWSN）相比，EH-UWSN过程的结果在能耗，吞吐量和网络寿命方面显示出良好的结果。仿真结果表明，与Co-UWSN相比，EH-UWSN消耗的能源少得多，并且网络寿命更长，目的地的吞吐量更高。与我们以前的UWSN协作路由方案（Co-UWSN）相比，EH-UWSN过程的结果在能耗，吞吐量和网络寿命方面显示出良好的结果。仿真结果表明，与Co-UWSN相比，EH-UWSN消耗的能源少得多，并且网络寿命更长，目的地的吞吐量更高。