The lifetime of a node in wireless sensor networks (WSN) is directly responsible for the longevity of the wireless network. The routing of packets is the most energy-consuming activity for a sensor node. Thus, finding an energy-efficient routing strategy for transmission of packets becomes of utmost importance. The opportunistic routing (OR) protocol is one of the new routing protocol that promises reliability and energy efficiency during transmission of packets in wireless sensor networks (WSN). In this paper, we propose an intelligent opportunistic routing protocol (IOP) using a machine learning technique, to select a relay node from the list of potential forwarder nodes to achieve energy efficiency and reliability in the network. The proposed approach might have applications including e-healthcare services. As the proposed method might achieve reliability in the network because it can connect several healthcare network devices in a better way and good healthcare services might be offered. In addition to this, the proposed method saves energy, therefore, it helps the remote patient to connect with healthcare services for a longer duration with the integration of IoT services.

中文翻译：

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无线传感器网络的智能机会路由算法及其在电子医疗中的应用。

无线传感器网络（WSN）中节点的生命周期直接决定了无线网络的寿命。数据包的路由是传感器节点最耗能的活动。因此，找到用于传输分组的节能路由策略变得至关重要。机会路由（OR）协议是新的路由协议之一，它在无线传感器网络（WSN）中传输数据包时保证了可靠性和能效。在本文中，我们提出了一种使用机器学习技术的智能机会路由协议（IOP），从潜在的转发器节点列表中选择一个中继节点，以实现网络的能源效率和可靠性。提议的方法可能具有包括电子医疗服务在内的应用程序。由于所提出的方法可以以更好的方式连接多个医疗网络设备，并且可以提供良好的医疗服务，因此可以实现网络的可靠性。除此之外，提出的方法还节省了能源，因此，通过集成物联网服务，它可以帮助远程患者与医疗保健服务建立更长时间的连接。