<p>A crucial challenge in wireless sensors networks (WSNs) is effective communication with tolerable power depreciation of sensor nodes. A bottleneck in the transmission of superfluous data is inevitable in every large network. Energy, latency, and data redundancy are the three identified challenges; to increase existing effectiveness, a trade-off must be made. Existing methods in the literature either employ a distributed or centralized strategy to select a sensor node. The paper proposes a fused clustering-based model with a routing algorithm. In this paper, a dedicated energy-efficient Fused Cluster Routing Algorithm (FCRA) intends to improve data aggregation in WSNs. With applications such as environmental monitoring, catastrophe management, smart agriculture, and urban planning being deployed, a need for low-energy communication protocols breeds more essential. The proposed FCRA integrates hierarchical clustering to optimize routing, thereby reducing transmit redundancy and conserving node energy. This directly contributes to the longevity and reliability of sensor networks in the domains of sustainability. The ideal routing technique for Cluster-Head (CH) identification is dependent on every sensor node’s processing capability, and it also assists in handling the intermediaries in the communication path. To enable efficient communication, data from both clusters is gathered utilizing location and temporal correlation, then aggregated. While related to the earlier suggested methods, the proposed method efficacy is shown to be higher, indicating its effectiveness. The efficacy of the proposed algorithm is assessed using modelling criteria such as aggregation, packet transfer percentage, throughput, packet delay, and used energy. This tremendous finding lays emphasis on optimized routing of WSNs which aids in sustainable infrastructures, resilient ecosystems, and informed environmental governance.</p>