| In order to further strengthen the contact between people and the physical world,to develop the information technology continuously,and to achieve the intelligent identification and management of all items,the Internet of things technology get people’s attention gradually.Based on specific protocol,the Internet of Things technology can realize the connection between things and the Internet to exchange information and communication.The Internet of Thing technology can achieve intelligent identification,monitoring and management through radio frequency identification,infrared sensors,laser scanners and other information sensing equipment.However,M2M communication is one of the key technologies of the Internet of Thing,and it is a new technology to realize the interaction between man and machine,machine and machine.Taking into account the growing demand for the smart society and the scarcity of wireless resources,the research on the monitoring and management mechanism of the Internet of Thing and the resource scheduling scheme in M2M communication is of practical significance.This paper studies these two aspects,the main work is as follows:Firstly,in this paper it builds a monitoring and management platform for the Internet of things,to achieve real-time monitoring and early warning of environmental data.It is based on LNMP(Linux-Nginx-MySQL-PHP)server architecture to realize the development of sensor sensing and server-related functions using HTML,CSS and JavaScript as development languages and relaying on JSON data communication principle.The main contents include the following aspects:first,the overall architecture is described in detail from the overall module and the overall process.Then,from the architecture of the Internet of Things,it introduces the four levels of network monitoring and management platform,and completes the information management systems and the Internet of Thing monitoring system.The information management system manages user’s information,including deleting,editing,adding,and other operations.The Internet of Thing monitoring system can view real-time sensors’ data and track these sensors.Secondly,we propose a resource scheduling scheme based on priority in M2M communication system,in order to maximize system throughput based on the guarantee of the user’s QoS requirements.The implementation includes the following aspects:first,based on the M2M communication scenarios,the problem of resource scheduling based on priority is modeled,and a new scheme of resource scheduling based on the firefly algorithm is proposed.The simulation results show that the proposed resource scheduling based on priority can guarantee QoS requirements as well as maximize system throughput. |