Study On Node Deployment Approach Of Wsns In Warehousing Environmental Monitoring System

Warehousing system is an important part of modern logistics system. Warehousing environmental quality will directly affect the product quality and even warehouse safety sometimes. With the increase of people’s living standard, people demand for meat, fruits and vegetables, aquatic products and dairy products all increase. However these products are sensitive to warehousing environment, not easy to store. The quality of these products is sensitive to warehousing environment changing. In order to guarantee the warehouse safety and the product quality, we should monitor the warehousing environment used for these products sensitive to environment and ensure and improve product storage environment through technical means.In recent years, intelligent storage is the key research issue in modern logistics. Applying wireless sensor networks technology conforms to the intelligent development trend. The wireless sensor network can overcome the shortcoming of traditional monitoring mode because it has the advantages of easy deployment, self-organization and it is beneficial to improve the level of storage environment and guarantee the storage safety and product quality, so wireless sensor network technology has broad development prospect in warehousing environment.Wireless sensor network node deployment is the premise condition of wireless sensor network applications, and it is the first problem for network deployment. This thesis mainly regard the wireless sensor network node deployment in warehousing environment monitoring system as the research object, explore wireless sensor node deployment algorithm in the warehousing environment, looking for the node deployment scheme that has the best optimal whole network performance.To start with, through theoretical research and discussion of wireless sensor network supporting technology involved in warehousing environment monitoring system, the thesis proposes MAC protocol, routing protocol, and data fusion algorithm which are all suitable for warehousing environment, thus provided a theoretical basis for wireless sensor network application.In the next place, the thesis found that there was no unified general unit sensing model by summarizing the current commonly used unit sensing model. On the basis of analyzing relative conditions, the thesis proposed a unit sensing model which is suitable for warehousing environmental monitoring system, and the unit sensing model not only can meet the requirement for application but also be benefit of node deployment in warehousing environment.Once more, the thesis analyzed wireless sensor networks node deployment in warehousing environment in detail, and proposed the node deployment approach based on space-filling polyhedron subdivision by considering the unit sensing model based on false alarm probability and space-filling polyhedron theory, thus provided a theoretical guidance for node deployment.Finally, the node deployment approach mentioned in this thesis is applied to the tobacco warehousing environment. In order to verify the effectiveness of the proposed deployment approach in this thesis, this thesis contrasted integrated performance of scheme obtained by the approach proposed in this paper with other relative schemes obtained by other approaches, and the results show that the integrated performance of scheme obtained by approach proposed in this thesis has a better performance, so it is worthy of future study.