Research On Intelligent Coordination Control For Wireless Sensor And Actor Networks

As a new type of information network, Wireless sensor and actuator networks(WSANs) have attracted researchers for more than a decade, and many WSAN applications have already been deployed all over the world. Compared with traditional Wireless Sensor Network(Wireless Sensor Networks, WSN), not only communication problems exist among sensor nodes, but also there exist communication problems among actuator nodes and sensor nodes more than sensor nodes in WSAN to achieve the goal of application. Therefore, it is necessary to construct the local coordination mechanism between sensor node and actuator nodes for providing efficient detection and response capabilities, such as the coordination of sensor node and actuator node, the coordination of sensor nodes, the coordination of actuator nodes. The research on intelligent coordination control for WSAN is helpful to improve the ability of system awareness and handle events in area of disaster rescue, intelligent building, and factory automation. In this background, this paper studies the intelligent coordination control algorithm in WSAN. The concrete research content is as follows:(1) Motivated by the cell information communication mechanism, we propose a collaborative approach of S-S in WSAN for the problem of node redundant communication and energy consumption.The goal of the approach is to reduce the redundant network load to and energy consumption and enhance the transmission reliability.First of all, according to the information intensity received by the sensor nodes in the area,we determine perception point set. And after Data-centric operation, we obtain the perceived value of energy efficiency to determine the best perceptual node. Finally, we introduce the specific factors to dynamically update the next-hop node selection probability of the perceptual node. Simulation shows that the network's overall energy consumption and transmission delay is reduced, the transmission reliability is improved.(2) For the problem of network energy cavity and the imbalance of node load caused by the "funnel effect" of nodes data acquisition in WSAN, an algorithm of data acquisition with mobile nodes in WSAN was presented. In this algorithm, a strategy of adaptively changing where the collection node resides based on Artificial Bee Colony(ABC) algorithm was applied, also the way of combining SINK proxy mechanism and adaptively changing node data acquisition rate was applied to the problem of data acquisition in the process of the collection node moving. Experiments showed that the proposed algorithm can improve the problem of energy cavity for data acquisition in WSAN on the basis of real-time data transmission, also improve the reliability of node data transmission and network resource utilization at the MAC layer and the comprehensive performance of the network.(3) Motivated by the mechanism of cell chemotaxis, a collaborative algorithm for the cooperative work problem of actuator nodes in WSAN is proposed to reduce the movement distance of the actuator nodes and improve the speed of cooperation response, further to improve the condition of large energy consumption of network and uneven energy of actuator nodes in the implementation process. First of all, according to the mechanism of cell chemotaxis, the number of candidate actuator nodes is determined and radio range is dynamically changed based on the event emergency degree and event frequency. Then the sequence of collaborative response probability of candidate actuator nodes is established based on the distance from the candidate nodes to event and the nodes' residual energy. Under meeting the requirements of event completion time, the optimal actuator nodes are chosen real-timely to participate in the collaborative process based on the mechanism of chemokine secreting adaptively. The simulation results show that the method adopted in this paper can improve comprehensive network performance compared with the existing methods.