Wireless sensor networks (WSN) is composed of a large number of tiny sensor nodes, which are deployed in the monitoring area to collect data to the users. It is of collection of wireless networked low-power sensor devices, with each device integrating an embedded microcomputer, radio, and very limited amount of storage. Its core technologies are derived from tens of thousands of wireless network applications, which are accepted as common knowledge. This paper tends to explore the optimization problems in the construction of mine wireless sensor network system. Taking energy conservation as paramount, the whole discussion pivots on two aspects which are (1) the optimal allocation of network equipment, aiming for the interoperability of various systems to solve the problem of information silos， (2) the optimization of the network time and space resources, aiming for fully utilization of the radio beacon and the time gradient wireless routing mechanism. (1)Optimal allocation of network equipment: 1) For the waste of resources caused by the mine wireless sensor node diversity and frequency diversity, a new type of mine smart sensor network gateway architecture model is proposed. And then for the first time a gateway protocol model suitable for mine use is proposed.The model establishesan intensive and fast protocol reconstruction method by means of the protocol components and CSP theory. In a certain extent, the new gate protocol modelhas solved the problem of compatibility and remodeling of various protocolsand also interactive communications between them. 2) Based on the embedded program technology and sensor node technology, a new node reconstruction method is proposed. First we analyze the node storage structure and the amount of reconstruction code, and then develop hierarchical modular storage solutions. The method adopts the diff-update scheme, mainly relying on a kind of on-chip procedural framework saving lots of memory resources, which is the virtual mirror, three-stage storage structure and the hierarchical module storage method. Actual node restructuring strategy and implementation saves a lot of communication resources and on-chip resources. (2)Optimization of the network time and space resources: 1) A new localization method based on RSSI near-and far- field beacon (NFCB) is proposed. Aiming at resolving the situation that wireless position cannot make full use of the resources of radio beacon in mine wireless sensor network, a large number ...
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