A Comparative Study on Self-Organization in Wireless Sensor Networks

With advancements in microelectromechanical systems, low-power integrated circuits, and wireless communications, wireless sensor networks (WSNs) have become increasingly significant [1][2]. These distributed networks enable efficient resource utilization and open doors to numerous applications, including personal healthcare, home automation, environmental monitoring, industrial automation, and defense surveillance. However, WSNs are susceptible to environmental factors in their deployment areas and may suffer damage. In such cases, the network must be reconfigured or repaired. To address these challenges and adapt to resource constraints, WSN mechanisms must exhibit self-organizing capabilities. For instance, in tasks like allocation, cooperative communication, and dynamic data collection, self-organization enhances the efficiency and robustness of WSNs across the application, network, and physical layers.