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Background: Wireless sensor networks play a significant role in network technologies. It is difficult to determine an optimal route that satisfies the requirements of wireless sensor networks. Energy-aware and trust-aware routing protocols play a critical role in the security of wireless sensor networks. In SRPMA (secure routing protocol based on multiobjective ant colony) routing protocol have very limited parameters and functions as well as ant colony algorithm is specifically finding the roots in which convergence limited Objective: This paper proposed an improved multi-objective trust-energy aware hybrid routing protocol using hybrid grey wolf genetic algorithm (I-MTERP-GWOGA) to achieve a quality of service by optimizing network security and reducing energy consumption in wireless sensor networks. Methods: Energy-aware function calculated by the radio energy dissipation model to ensure the nodes involves in the route is capable of transmitting the data packets successfully or not. The load function is directly impacting the delay of the transmission of data packets. Results: I-MTERP-GWOGA algorithm shows better simulation results than secure routing protocol based on multiobjective ant-colony (SRPMA) and improved ant colony optimization based security routing protocol (IASR) algorithms using matlab2019a. Conclusion: The proposed algorithm improves performance against malicious nodes using five network performance criteria; packet delivery ratio, packet loss rate, average energy consumption, and end to end delay.

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