Research On Large Scale Wireless Sensor Networks Mobile Data Collect Mechanism

With the innovation of low power technology, wireless communicationtechnology and nanotechnology, wireless sensor networks develop rapidly. Theapplications have got extensive attentions in the military, the scientific research andthe livelihood area. Wireless sensor network is a data oriented network. Recent studiesshowed that, the adoption of mobile data collection devices can significantly optimizethe network data collection work.In order to solve the energy balance and energy saving problems in mobilewireless sensor networks, a mobile sink based multi-track wireless sensor networksdata collection mechanism was proposed. The energy balanced mobile sink movementstrategy and the redundant nodes fusion strategy were built in the paper. The lowenergy cost and high energy balance performance was fully revealed.Firstly, according to the network geographic topology, a layered data collectionnetwork sector model was put forward. The network mathematical model wasestablished and the parameters were analyzed to match the practical application.Secondly, based on the node data throughput and the data transmission energyconsumption per unit of time, the node energy consumption model of data collectionwas put forward. The mobile sink data collection parameters were given for the model.On the basis of the linear programming, the mobile sink multi-track trajectory waspresented and the algorithm was given. According to the trajectory, a suitable datatransmission scheme was put forward. The scheme can build a complete datacollection tree and ensure the minimum data upload hops. Theoretical analyses provedthe feasibility of data transmission scheme and the energy efficient performance of thewhole multi-track data collection mechanism.Finally, under the condition of without reducing data collection expectations, anoptimized data collection scheme was proposed on the basis of redundant nodes fusion.The redundancy rate was obtained on the cardinal number of coverage nodes. The cardinal number was the minimum number of nodes that meets the coveragerequirement. The network model was further divided into small grids on theredundancy rate and the grid headers were selected to conduct the communication task.The algorithm was given and was proposed approval. The network initializationalgorithm was given which was mainly performed by the mobile sink and the networkwas divided by the sink’s beacon information. The implementation algorithm for datacollection was also given. Simulation results proved that the optimized data collectionmechanism has outstanding performance on the energy balance and the low energyconsumption performance.