International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Energy-Efficient Routing Protocol Using Fuzzy and Kangaroo Optimization Techniques in IoT-WSN Environment

Author(s) Kammampati Shiva Prakash, Priyanka Kolluru, Aravind E, Kothuri Ramakrishna, Adupa. Rajkumar, Muralidhar Goud K
Country India
Abstract Wireless Sensor Networks (WSNs) are essential building blocks for effective data collection and communication in Internet of Things (IoT), which is a dynamic network of linked devices. Critical issues, which is affect network lifetime and dependability include imbalanced network loads, inefficient data routing, and restricted energy resources for IoT-assisted WSNs. To address this this research proposes a unique fuzzy-based intelligent clustering and efficient routing method. To ensure balanced energy consumption and efficient cluster formation, the proposed model uses a fuzzy logic-driven clustering technique to pick the best Cluster Heads (CHs) based on a number of factors, such as residual energy, node centrality, and closeness to neighbors. A Kangaroo Optimization Algorithm (KOA)-based routing technique is presented for effective data forwarding by selecting best transmission paths by taking into account the energy metrics. The routing decision process includes a fitness function designed to conserve energy while maintaining dependable and low-latency communication. Extensive simulation results confirm that proposed approach significantly improves energy efficiency, throughput, Packet Delivery Ratio (PDR) and enhances overall performance compared to conventional methods.
Keywords Wireless Sensor Network, Internet of Things, Cluster Heads, Kangaroo Optimization Algorithm, Energy Consumption, Throughput, PDR
Field Engineering
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-06-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.47086
Short DOI https://doi.org/g9pzvk
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