Clustering is an effective ways to improve energy efficiency by lowering or regulating the energy usage amongst sensor nodes (SNs). The nodes that are closest to the cluster's center are typically selected to serve as Cluster Heads (CH) in earlier cluster-based schemes. Additionally, Member Nodes (MNs) experience uneven energy usage because direct data transfer is typically used for intra-cluster routing when MNs and CH need to communicate. As a result, nodes located further away from CH use more energy to send their data packets than nodes located closer to CH. This unbalanced depletion of energy of MNs causes coverage gaps to emerge and shortens the coverage time. The time, while the initial MN is depleted is known as coverage time, which resulted in partial coverage of the sensing area. This work develops a new Energy aware Clustering framework. The model includes the phases like: Optimal Clustering, Routing and Data Aggregation. Optimal Clustering is the initial phase, where, new Jelly Customized Beluga Whale optimization algorithm (JC-BWOA) is introduced to perform clustering process on considering Delay, Energy, Trust, Intra and Inter Cluster distance. Optimal routing is done via JC-BWOA algorithm on considering link quality and distance.