Research On Optimizing The Network Energy Consumption In Wireless Sensor Network Monitoring Platform

Wireless sensor network as a new direction of development in the field of informationscience, has aroused widespread concern and rapid development. Wireless sensor network is alot of random arrangement of sensor nodes in the monitoring of the regional intelligent network.This thesis describes the design and implementation process of the wireless sensor networkmonitoring platform. the monitoring platform for sensor nodes sensing data which is designedfor topology management and data management for wireless sensor networks, is capable ofcollecting and processing the raw data collected by the sensor nodes and displaying theinformation of the network dynamic topology and sensor nodes information automatically，so asto meet the demand for data analysis and management of the node information.This thesis describes the routing algorithm DSR, DSDV, AODV, the Cluster-Tree,Z-AODV algorithm. The Cluster-tree algorithms determine the packet to send the generaldirection, to reduce the flooding broadcast when network find the optimal path. the introductionof the remaining minimum energy avoid some minimum residual energy nodes premature death,leading to partial or even paralysis of the entire network, reducing the overall powerconsumption of the network. The simulation results show the improved algorithm be able toreduce overall network energy consumption, reduce the number of network dead node so as toextend network life cycle.Finally, I summarize the work of the thesis, propose monitoring platform imperfectcapabilities and give future research directions.