Research On Node Management Technology Of Wireless Sensor Network

Wireless sensor network is a distributed self-organizing network made up by a large number of micro-sensor nodes with low cost, low power and wireless communication and computing capability, involving many subjects such as wireless communication technology, sensor technology, embedded technology and micro-motor technology. It has changed the interactive mode between human beings and the physical world, and is of great application value in the area of military, medical, environmental monitoring, disaster relief, industrial control, intelligent home highlights and so on. Currently, the main problems of wireless sensor networks are constraints of computing, storage and network resources. Therefore, study on the node management mechanism of wireless sensor network node witch have high efficiency and low power is great significant. Under the premise of meeting the applications needs of the wireless sensor network, this paper works on nodes sleep/ wake-up mechanism and the node power management mechanism, witch can be reflected in following respects:For the wireless sensor networks witch have available locations of sensor nodes, on the base of redundant nodes identify theory of TIAN algorithm, this paper proposes a nodes sleep/wake-up mechanism based on energy threshold. This mechanism takes node energy consumption as a key factor of node working rotation. Within the blind spots of detection region resulted by decreased detection performance (probe radius decreases) of sustainable working nodes, set the corresponding energy consumption threshold for nodes, to make nodes re-determine their own working status when their energy consumption reach to a certain extent. This allows monitoring network maximize the node energy to complete the tasks and balance the network's overall energy consumption.At the same time, for the wireless sensor networks without nodes accurate location information, combining with fuzzy control algorithm, we design a node sleep /wake-up mechanism based on fuzzy power control, which allows the nodes are according to not only their own energy changes but also the speed level of energy consumption to adjust their sleeping or working status. In detection regions, great energy consumption nodes enter sleeping status, while energy adequate nodes work, which raises the life of overall network and enhance the energy efficiency of a single node.For the dynamic changes of nodes energy consumption of wireless sensor network, we introduce the ant colony optimization algorithm, to develop a kind of node power control and management mechanism based on ant colony algorithm under the condition that ensure the network nodes are in bi-directional connectivity. It is based on the size of the node data flow adaptively adjusts nodes transmission power, and re-establish transmission route using ant colony optimization algorithm. Create the low-power data communication paths to effectively reduce the network's overall energy consumption.Combining the node fuzzy energy control theory proposed in this paper, we build an oil pumping unit remote operation monitoring system by taking wireless sensor network as the communication platform, witch improves the system's life cycle in a wide range of monitoring region effectively, overcomes the inconvenience of traditional oil equipment monitoring and greatly improve the oilfield automatic production performance.This paper studies the core issues of wireless sensor network node management, and designs the relevant node management and control algorithms in the principle of improving network energy efficiency and extending the network and nodes the effective working cycle. Results shows that taking the nodes energy consumption as a starting point coupled with the adaptive design of nodes can effectively improve the life of networks.