Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/3594 2018 2018 Assistant Professor, Electronics and Communication Engineering, Raja Rajeswari College of Engineering, Bangalore, India Vani Vani Research Supervisor, VTU, Belagavi, India Ganashree T.. S. Associate Professor, Electronics and Tele-Communication Engineering, Dayananda Sagar College of Engineering, Bangalore, India Vinod B. Durdi Associate Professor, Electronics and Tele-Communication Engineering, Dayananda Sagar College of Engineering, Bangalore, India Srividya B.. V. Associate Professor, Electronics and Communication Engineering, M.S. Ramaiah University of Applied Sciences, Bangalore, India T. Christy Bobby Professor & HEAD Electronics and Tele-Communication Engineering, Dayananda Sagar College of Engineering, Bangalore, India Anju V. Kulkarni Wireless Sensor Networks are everywhere around us used in variety of applications such as weather forecasting, military surveillance, health monitoring, agriculture monitoring, and smart IoTs etc. These networks are particularly employed to sense and broadcast the data from source nodes to sink node. Hence, energy consumption becomes one of the most challenging jobs here. Hierarchical clustering-based routing schemes prove to be helpful in such situations. As a result, optimized cluster head selection is essential and key task here. In this paper author has attempted to design an optimized cluster head selection scheme based on Adaptive Hybrid Dragonfly Firefly (AHDF) algorithm based on node energy, corresponding distance and network load and delay parameters. The simulation and comparison results showcase the outperformance of the proposed routing scheme in terms of energy efficiency (121% and 41%), network lifetime (89% and 21%) and data throughput (31% and 23%) in comparison of existing routing schemes SEELCA [15] and CRCGA [16] respectively. 2025 2025 84 96 10.54216/FPA.190108 https://www.americaspg.com/articleinfo/3/show/3594