Abstract—In the last few years, IoT routing has been a daunting job for researchers. This is a difficulty because traditional routing algorithms are not appropriate for IoT-based sensor systems. Near the sink, the nodes absorbed more energy and died. This leads the network to be split, which limits the network’s existence. The sensor node is mainly constrained by energy. The sensors are electronic equipment operated by the battery. In certain systems, it is impossible to substitute the batteries. The greater packet transfer would bring more tension to the battery-powered nodes, and the entire existence of the network would be impacted. IoT networks have no defined and extremely complex infrastructures. The complex infrastructure is responsible for storage; the sensor nodes have insufficient battery energy. Algorithms for energy-conscious routing have demonstrated a significant decrease in electricity use. IoT thus requires a protocol to route effectively. This research proposes an original efficient routing mechanism for IoT networks. The aim of the research lies in designing a modified Open Shortest Path First (OSPF) routing algorithm that is energy efficient. We have modified OSPF to give preference to healthier paths based on the criteria of the total energy available on the path, the path length, and the avoidance of critical nodes. The proposed methodology was evaluated through extensive simulations conducted in a real-world setting on the Johor Bahru UTM campus, covering an area of approximately 1 square kilometer with a roughly rectangular shape. The results demonstrated significant improvements in energy efficiency and network longevity.