Study On Network Of Temperature Sensors Via Lyapunov Optimization

The Internet of Things(IOT)is an important direction for future Network developing.Recently,related applications of IOT have begun to penetrate into people's lives slowly,such as energy-saving systems,smart grid systems,etc.Which unlike the current Internet,there are a large number of sensors in the IOT that are used to collect environment information and forward control commands.Sensors and Wireless Sensor Network(WSN)make connections between objects,and they also make connections between objects and people.In the IOT,the wireless sensor network is a significant part.It is known to all that the stability of the wireless sensor network can directly determines the QoS(quality of service)of the IOT system.However,there are many factors that affect the stability of the WSN,which are also difficult to figure out.Therefore,how to measure and ensure the stability of wireless sensor networks has become a very challenging thing.In this paper,the Lyapunov optimization theory is used as the theoretical tool,while taking the wireless network of temperature sensors in Internet of Building Energy Systems as the research scene.The objective of this research is to improve the data-acquisition precision of the gateway in wireless network.Also in this paper,the classical control theory “Lyapunov Stability Theorem” is introduced in the wireless temperature sensor network.Meanwhile,A new data-acquisition algorithm will be designed according to the Lyapunov optimization method.The new data-acquisition algorithm not only increases the data-acquisition precision for the Internet of Building Energy Systems,but also help guarantee the stability of the wireless temperature sensor network.The main work of this study show as follows:(1)Mathematical modeling for the wireless temperature sensor network in the Energy IoT System and analyzing this model using the Lyapunov method;(2)According to Lyapunov optimization theory,optimizing the sensor data acquisition algorithm to adapt the dense data transmission over the WSN with constraint of limited resources supplied by the network service;(3)Building a network simulation environment base on the actual environmental parameters,and then analyzing the results of the simulation network to verify the effectiveness and the advanced nature of the new and optimized data acquisition algorithm.