Current technological and manufacturing advancements have made it possible to create compact, powerful, energy-efficient, cost-effective sensor nodes that are "smart" enough to be capable of adaptability, self-awareness, and self-organization. These nodes are intended for generalised telecommunication applications. In sensor networks for sustainable development, it is looked at how sensor network technologies increase social development and living quality while having little to no detrimental effects on the environment or the planet's natural resources. In a wide range of applications, such as the military, healthcare, traffic monitoring, and remote image sensing, wireless sensor networks (WSNs) are unquestionably advantageous. Due to the limits of sensor networks, different levels of security are required for these crucial applications, making it challenging to employ traditional algorithms. Security has arisen as one of the main problems with IoT and smart city applications, and sensor networks are also considered of as the cornerstone of IoTs and smart cities. A routing algorithm, network strength, packet loss, energy loss, and other complicated concerns are covered by the WSN. Other complex issues covered by the WSN include energy consumption, an efficient method for selecting cluster heads, and other issues. Because of the unique characteristics and constraints of nodes, it is now more challenging to provide trustworthy and reliable data since the recent development of WSNs. The integrity of the network can be readily compromised by hostile nodes through the insertion of false and malicious data as well as the initiation of internal assaults. To identify rogue nodes, trust-based security is used, which offers a powerful and mobile defence. Trust evaluation models are an essential security-enhancement technique for boosting sensor node dependability (cooperation) in wireless sensor networks. The unique trust approach DFA U-Trust is recommended by this study to address the security requirements of WSNs.

: Trust, Dragonfly, K-means, Lifetime enhancement, Sustainability