Enhancement of Energy Efficiency using Improved Energy Efficient Routing Protocol in Wireless Sensor Networks for IoT Applications

The optimization of energy conservation and the span of the system are the important obstacles to establishing and managing the function of wireless sensor networks. Grouping is an efficient strategy for modifying the load, synchronizing the structure with the associated order, and lengthening the system's life. In a cluster-based system, hot spots arise because the group leader that is closer the sink soon runs out of energy. To resolve this challenge, numerous uneven grouping strategies have been suggested. These strategies have the limitation of overburdening the group leader with endpoints that enter the identical cluster. Hence, in order to strengthen the functionality of a group, we provide a strategy in this research called fuzzy logic - based imbalanced grouping. Generated statistics is used to examine the intended study. The recommended strategy is contrasted with two existing heuristics: LEACH, which employs an analogous grouping strategy, and EAUCF, which employs an asymmetrical grouping strategy. The MATLAB simulation findings illustrate that the recommended strategy performs superior than the other two strategies.