Research On Location In Mobile Wireless Sensor Network

The complex of China's coal mine, ever-changing mining conditions, coupled with work space is small, poor lighting conditions, all kinds of hidden dangers exist in all aspects of the production process and the various underground sites, but in a complex underground environment, there are a large number of the hard wired control system layout areas, underground gas concentration can not be right to conduct a comprehensive and effective monitoring. In addition, cable sentinel surveillance system can not be achieved on the mobile devices and mobile personnel monitoring. In order to overcome these shortcomings cable network article focuses on the underground mobile equipment and personnel safety monitoring of the positioning of mobile wireless sensor networks research can help in case of accidents faster, more accurate positioning of personnel and equipment, better to reduce losses.In order to achieve coal mine personnel and mobile devices, monitoring, in the text of the localization algorithm for mobile wireless sensor network hardware platform is designed, in the underground work you only need to bring the hardware internal, and can use the localization algorithm to accurately estimate by their location information. To research in this hardware platform based on location in mobile wireless sensor network.In this essay, it classify the wireless sensor network node localization algorithm, research some current wireless sensor network node location algorithm as well as the basic method for measurement between the nodes, and analysis the advantage and disadvantages of these methods. Furthermore, it proposed an intelligent mobile wireless sensor network node localization algorithm that suitable for complex underground tunnel environment. It will make use of modified RDT algorithm in more complex interchange ranging tunnel environment, achieve the position for unknown nodes by the methods of combining RSS and DV-hop, as well as use edge localization algorithm in a single underground tunnel environment. Finally, it further proved the feasibility of this kind of intelligent algorithm of key parts of new RDT localization algorithm by the way of examples and experiments.