WSNs (Wireless Sensor Networks) play a pivotal role in various applications. However, the inherent constraints of sensor nodes, particularly limited energy resources, pose significant challenges to the overall performance and longevity of WSNs. This research explores innovative pathways towards sustainability in WSNs by introducing advanced routing-based energy optimization techniques. This research begins with a comprehensive analysis of the existing challenges in WSNs, emphasizing the critical importance of energy efficiency for prolonged network lifetime. Novel routing strategies are proposed to enhance performance and extend the operational lifetime of sensor networks, leveraging this considerate. These strategies incorporate intelligent energy-aware algorithms and protocols that dynamically adapt to the network conditions. The exploration explores the design and execution of the proposed routing-based energy optimization techniques, providing a detailed examination of their impact on network performance metrics such as latency, throughput, and reliability. Simulation results validate the efficiency of the introduced strategies. Furthermore, the study explores the implications of these advancements in diverse application scenarios, including environmental monitoring, healthcare, and smart cities. The potential for sustainable and resilient WSNs is discussed, highlighting the broader significance of the proposed routing-based energy optimization techniques in addressing the evolving demands of contemporary sensor network applications. Finally, this research presents a significant step forward in the pursuit of sustainable WSNs. The proposed routing-based energy optimization techniques offer a promising way for enhancing the performance and extending the lifetime of WSNs, thereby contributing to the realization of efficient and permanent solutions for a wide range of applications