A wide variety of applications are now available as a place on the Internet of Things (IoT), and it is are classified as Low-power and Lossy Networks (LLN), and their devices have significant energy, memory, processor capabilities, and radio range constraints. The Low power and Lossy Networks (RPL) have permitted proficient end-to-end and bi-directional communication among hundreds of sensors, intelligent devices, and actuators, which helps connect resource-constrained gadgets in multi-hop IoT environments. RPL is built to address the primary issues that LLNs face, namely energy holes and huge energy utilization problems. However, RPL is experiencing significant load balancing and congestion issues, resulting in a poor Packet Delivery Ratio (PDR) network. This study proposes grid-based clustering for RPL, a lightweight scheme that organizes nodes into consistent clusters and transmits packets over a unique grid environment to tackle this challenge. Furthermore, compared to the existing data transmission technique, GC-RPL has reduced the quantity of energy used in the nodes, owing to the network enforcing fewer control packets.