Revolutioning WSN: Experimental Design of an Energy Efficient Communication Protocol Using Improved BEE Colony Clustering Model

• Published in: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) pp. 1 - 7
• Main Authors: Priyaradhikadevi, T., Vijayakumari, P., Balaji, M, Chinnammal, V., Vijay, Sreeja
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09-05-2024
• Subjects: ABC; Artificial Bee Colony; Clustering algorithms; Clustering Model; Communication Protocol; Energy consumption; Energy Efficiency; IBCCM; Improved Bee Colony; Power demand; Routing; Simulation; Wireless Networks; Wireless sensor networks; Wiring; WSN
• ISBN: 9798350389432
• DOI: 10.1109/ACCAI61061.2024.10602209

Wireless sensor networks (WSNs) can benefit from improved network lifetime and energy efficiency when routing algorithms are designed using clustering of sensor nodes. The main nodes in clustered WSNs, known as cluster heads, need more power since they have more work to do. As a result, finding the best cluster heads is a challenging issue. One way to reduce power consumption in WSNs is by using multi-hop routing protocols. But, because all nodes consume energy in an uneven manner, the network lifespan is still degraded. Consequently, in order to assess the efficacy of the suggested approach, we cross-validate it with the conventional model known as Artificial Bee Colony (ABC) and present an enhanced bee colony optimization model referred to as the Improved Bee Colony Clustering Model (IBCCM). The suggested IBCCM routing scheme aims to optimize energy consumption in wireless sensor networks. This is crucial because wireless network and IoT devices have limited energy reserves. Another goal is to make the network more adaptable so that it can smoothly adapt to unexpected changes, reducing disruptions and optimizing overall network performance. Algorithms take into account associated goals with informative-shaped rewards to speed up learning. By lowering data delivery delay and improving the packet delivery ratio compared to existing routing protocols, we showed via the different simulations that our approach enhanced energy efficiency and allowed for quick adaptability to unanticipated changes in the network. Using priority path selection, the nearest nodes with the lowest energy consumption are located instantly. Priority two is given to nodes with the smallest link costs if the minimum energy between their neighbours is equal. In various instances, the suggested technique is tested to see how well it performs. The simulation results demonstrate that the suggested protocol outperforms other comparable protocols that have been developed recently.