Adaptive Learning and Reconfiguration in Wireless Sensor Actuator Networks for Control Applications
WSANs are becoming a solution for implementation of control applications. Sensors and actuators can be deployed forming a large or dense network to monitor and control physical parameters or systems. Reliable data transmission and real time constraints are the most significant challenges in WSAN implementation for control applications in addition to basic challenges such as scalability, network topology, energy efficiency and connectivity. Control applications will have some Quality of Service (QoS) requirements from the sensor network, such as requiring a very low packet loss rate, minimum delay and guaranteed delivery of packets.