Wireless Sensor And Actuator Network Coordination Control Method Research

Wireless sensor and actuator network(WSAN) is an emerging network, the actuator node, as a stronger capacity node, is introduced in the WSN network. By monitoring events with a large number of sensor nodes in real-time dynamic within WSAN coverage area, and the information is sent to the actuator nodes according to the constraints. The actuator node to deal with information, according to performance parameters to the task sequence, and in turn to perform tasks. Due to the introduction of actuator node makes network structure from homogeneous to heterogeneous, nodes in the network communication, routing and task allocation is more complicated. At the same time because of network nodes with limited resources and the wide distribution, we must consider reducing the energy consumption of the network and maintaining stable communication and real-time task execution. In order to improve the performance of WSAN, introducing the reasonable mechanism of collaboration between nodes is one of the effective ways. For WSAN network coordination problems, this paper has the following contents:(1) For sensor- sensor coordination problem, consider the energy constraints, this paper puts forward a mobile sensor node cooperative control date distribution. By using this method can effectively control node data. Avoid the mobile node in the network to carry large amounts of data for migration. Firstly, trip planning algorithm for mobile agent based on tree structure was analyzed,Secondly, energy consumption model for network was established,Finally, by the principle of minimum energy consumption, the data packages between the multiple mobile agent and each mobile agent migration process were reasonably allocated.Corresponding flow chart about data distribution method is given. The proposed method and the Minimum Spanning Tree of Multi-agent Itinerary Planning(MST-MIP) was compared by simulation. The result shows that proposed method has better performance in energy consumption.(2) In view of the coordination problems between sensors and actuators, this paper,learning from biological immune mechanism, puts forward S-A routing collaborative method.Firstly,energy consumption and information accuracy as constraint,sets up wireless sensor and actuator networks module with biological immune mechanism. Secondly, in view of the constrained to optimize S-A routing Lastly, this method is compared with the clustering algorithm of sensor node collaboration by simulation.The simulation results show that, the proposed routing collaborative method to effectively reduce the network energy consumption and ensure the accuracy of the information.(3) According to actuator-actuator collaborative problem, this paper presents an actuator task cooperative allocation method based on biological immune algorithm. This method takes the task completion time and the energy balance for the target. Based on biological immune mechanisms, A-A task coordination model is established. Respectively, puts forward the objective function of the task completion time and the energy balance. Actuators task allocation strategy is derived by using the biological immune mechanism. Biological immune algorithm is global convergence, is used to get the best task allocation schemes. Algorithmimplementation process is given. Finally, the method of this paper were compared with EBTA and EBDG. Results show that not only reduce the network energy consumption, but also improve the energy balance index and reduce the maximum completion time.