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Wireless Networking Technology Research Based On Internet Of Things

Posted on:2016-06-11Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y MaoFull Text:PDF
GTID:2308330473452523Subject:Optical engineering
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In the constructional industrial control field of Internet of things, the demands of the automation and intelligence in safety monitoring are getting higher and higher due to the hugeness of the construction equipments and the complexity of the environment. Based on the communication requirements of industrial building tower crane, this thesis aims at building an autonomous subnet/subsystem by using the distributed system architecture design method. With the absence of base station, crane towers, which are regarded as network nodes, communicate with each other by using Zigbee wireless mode. These nodes can be organized in the form of cluster effectively, composing a wireless ad-hoc network. The invalid communications between irrelevant nodes together with the tedious process of artificial data configuration can be avoided. What’s more, within the same cluster of crane nodes, data communication is efficient, whereas the data transportation between different clusters is centralized. At the same time, this thesis prepares for the afterwards intelligent application of the anti-collision algorithm.Theoretically, the function of the existing crane safety monitoring terminal was analyzed thoroughly, then the demands of ad-hoc networking was proposed. By studying some networking strategy and schemes in the background of wireless sensor applications, the train of thought of how to implement the strategy aimed at specific application demands has been acquired. Afterwards, the necessity of inserting clustering algorithm was discussed. And the clustering algorithm and self-networking strategy were advanced by combining the needs of crane safety monitoring terminal and the global planning. Four crucial flow diagrams were settled, including the flow diagram of “after the booting and before the clustering”, the flow diagram of “clustering process”, the flow diagram of “inserting new node” and the flow diagram of “the process after the node is dead”. Meanwhile, the corresponding communication protocol and a number of communication frames are laid down, which were used in the delivery data response in different processes of self-networking, making all the crane nodes a self-adapting system.From engineering point of view, the ad-hoc network terminal software was developed in the Visual Studio 2012 platform using C#. Microsoft Access Database was the data storage set by using the three-tier Architecture, in which some design patterns including the decorator pattern, observer pattern, singleton pattern and the events and delegation mechanism were applied. The configuration function of the Zigbee module, the recognition function to the surrounding nodes, the display of the topological structure of nodes and the console log panel were implemented in the terminal software, together with the crucial test function of the simulation and the data analysis during the process of ad-hoc networking. The real-time operation of the ad-hoc algorithm was realized, with the expected self adaptivity.Several testing cases were designed based on the four crucial flow diagrams and a few application scenarios. The result of the ad-hoc networking is impacted by the setting of some vital parameters, which was analyzed after the tests. In the end, some research prospects of this thesis are proposed for future research.
Keywords/Search Tags:the Internet of things, crane tower, ad-hoc network, clustering algorithm, networking strategy
PDF Full Text Request
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