Rapid developments in processors and radio technology have led to the emergence of small sensor nodes capable of communicating in wireless sensor networks (WSNs). Nodes in WSN transmit data using multi-hop routing and based on cooperation with each other. This collaboration has made these types of networks vulnerable to many attacks. In order to determine the reliability of nodes in separating malicious nodes from other nodes, an intelligent trust management scheme must be used. In recent years, trust-based routing protocols and opportunistic routing have become important tools to increase WSN security and performance. In this paper, an energy-aware trust and opportunity-based routing (ETOR) algorithm is proposed with respect to a novel hybrid fitness function. This algorithm has two main steps: one is to select secure nodes based on tolerance constant and the other is to select opportunistic nodes from secure nodes to perform routing. ETOR uses the multipath routes technique with an intra-cluster and inter-cluster multi-hop communication mechanism. In addition, the optimal and secure route is selected based on a novel hybrid fitness function with the parameters of energy, trust, QoS, connectivity, distance, hop-count and network traffic. The simulation was performed by MATLAB based on evaluation criteria such as throughput, delay, detection rate, NRL, distance, energy, packet delivery ratio and network lifetime in the presence of DoS attack. The experimental results show that the evaluation criteria in ETOR have improved compared to other secure routing algorithms. In addition, the ETOR algorithm provides more optimal routes for the effective transmission than its untrusted version, i.e. the energy-aware opportunity based routing.

处理器和无线电技术的飞速发展导致了能够在无线传感器网络（WSN）中进行通信的小型传感器节点的出现。WSN中的节点使用多跳路由并基于彼此的协作来传输数据。这种协作使这些类型的网络容易受到许多攻击。为了确定将恶意节点与其他节点分离的节点的可靠性，必须使用智能信任管理方案。近年来，基于信任的路由协议和机会路由已成为提高WSN安全性和性能的重要工具。针对新型的混合适应度函数，提出了一种基于能量感知的信任和基于机会的路由（ETOR）算法。该算法有两个主要步骤：一种是基于容差常数选择安全节点，另一种是从安全节点中选择机会性节点来执行路由。ETOR将多路径路由技术与集群内和集群间多跳通信机制结合使用。此外，基于具有能量，信任，QoS，连接性，距离，跳数和网络流量的参数的新型混合适应度函数，选择最佳和安全的路由。在存在DoS攻击的情况下，MATLAB根据评估标准（例如吞吐量，延迟，检测率，NRL，距离，能量，数据包传输率和网络寿命）进行了仿真。实验结果表明，与其他安全路由算法相比，ETOR中的评估标准得到了改进。此外，