Читать книгу Internet of Things in Business Transformation - Группа авторов - Страница 38

Wireless Body Area Network (WBAN) protects the patient’s life by its continuous monitoring and data transmission mechanism. For load balancing the most important method in WBAN is clustering which provides practical approach for energy optimization of senor nodes. We designed a cluster formation technique using Evolutionary algorithms. Optimized clustering is grouping the nodes of the network in the most efficient way. We also need a minimum number of possible clusters, long-lasting in the network. We analyzed the performance difference in Comprehensive Learning Particle Swarm Optimization (CLPSO), Dragonfly Algorithm (DA), and Multi-objective particle swarm optimization (MOPSO). Our experimentation has shown that the overall performance of DA is the most efficient among all three algorithms, as it forms fewest optimized long lasting clusters.