Low Power Technology Research And System Application Of ZigBee Network

In recent years,wireless sensor network technology has been widely use due to the rapid development of short distance wireless communication technology and sensor technology.Because of the environmental and other factors,batteries are widely used as a power supply in wireless sensor network technology,but system consumption is higher which affects the application effect of the system to a certain extent.To this end,the research of low power wireless sensor network technology is very important.Most low-power technologies in existing wireless sensor networks are designed to reduce system power by controlling sleep time,unfortunately,the diversity of network system which makes it difficult to estimate the optimal sleep time of routing node.In order to solve the above-mentioned technical difficulties,queuing theory model is introduced in this paper to estimate sleep time of the routing node,with a view to getting the best sleep time of local routing node,thereby enhancing the performance of low-power routing node.During the operation of the system,the change in the number of terminal nodes will make the prediction of routing node's sleep time inaccurate.In order to solve this problem,the dynamic mathematical model is used to estimate the dynamic sleep time of the routing node,thereby implementing the dynamic duty cycle of routing node's sleep time.The main research work of this paper is as follows:1.Estimation of the sleep time of routing node.Under the single routing node,the queuing theory is employed for mathematical modeling,which estimates the specific sleep time.Then,the feasibility of estimated time and the power consumption of routing nodes under different sleep times are tested.The test results show that the dormancy of routing node sleep which use the sleep time estimated by queuing theory is feasible.Furthermore,node power consumption reduced by 42.5%.2.The dynamic duty cycle of routing node sleep time.The number of terminal nodes will change in the process of the running system.So the sleep time of routing node can not be dynamically adjusted which make the estimation inaccurate.In order to solve this problem,this paper uses the queuing theory to establish the dynamic mathematical model to estimate the dynamic sleep time of the routing node,so as to realize the dynamic adjustment of the sleep time of the routing node.Then,the feasibility of the method was tested.The results show that the dynamic sleep time which predicted by the dynamic model based on queuing theory can used in routing node successfully,this can solve the problem caused by the change of the number of terminal nodes.In summary,this paper realizes the estimation of the sleep time of the routing node and the dynamic duty cycle.Then,the ZigBee technology is utilized to build a specific wireless sensor network system.Finally,the system is applied into Dasan project to detect the temperature and humidity,using the gateway of the Internet remote web pages to monitor the detected parameters.It can be seen from the results that the estimated sleep time reduces energy consumption of routing nodes significantly,which is of great application value.