Energy and Bandwidth Efficient Cluster Based Data Aggregation for Lifetime Improvement of IoT based Wireless Sensor Networks
Silla Visishta, Gollapalli Leela Krishna, Mondi Ujjwal Prabhas, Akshaya Karthikeyan, Venkatasubramanian Srividhya · 2024
This paper focuses on the Energy-Efficient Hybrid Clustering Technique (EEHCT) and Bandwidth-Efficient Cluster-Based Data Aggregation to address energy consumption, bandwidth utilization, and network lifetime in wireless sensor networks (WSNs). The proposed algorithm maximizes bandwidth usage, prolongs node and network lives, and improves energy efficiency by utilizing chain construction and data aggregation techniques. Comparative simulations show significant reductions in network lifespan and energy use. Targeting networks with heterogeneous nodes, the paper aims to optimize energy-efficient clustering for increased network lifetime and bandwidth use and apply data aggregation techniques for energy savings and higher bandwidth utilization. Comparative analysis with protocols like Low Energy Adaptive Energy Hierarchy (LEACH), Centralized LEACH (LEACH-C), FUZZY LEACH (LEACH-F), Power-Efficient Gathering in Sensor Information Systems (PEGASIS) and Bandwidth- Efficient Cluster-based Data Aggregation (BECDA) provides comprehensive insights.