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Research Of Energy Management Of Self-Power Wireless Sensor Networks

Posted on:2019-12-26Degree:MasterType:Thesis
Country:ChinaCandidate:H C DaiFull Text:PDF
GTID:2428330548469027Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
Wireless sensor network(WSN)is composed of a large number of sensor nodes deployed in the monitoring areas.It can monitor and collect information on a specific environment.The information is sent to the user through wireless transmission.Wireless sensor networks work in a rare and unattended environment,powered by batteries with limited energy.The wireless sensor network's application is primarily restricted by the limited energy.The research of energy management of self-powered wireless sensor is very important to solve energy limitation of nodes and improve the effectiveness of collection energy.Aiming at the deficiencies of a single solar energy collection method,this paper designed a hybrid energy collection and power management system.While the system uses solar photovoltaic cells to generate electricity,the temperature difference battery collects waste heat energy from the surface of photovoltaic cells to generate electricity.This solves the problem of output power reduction caused by excessive surface temperatures during photovoltaic cell power generation.At the same time,it collects more environmental energy for the nodes.The system uses a lithium battery and a super-capacitor hybrid energy storage unit to store the different energy collected separately,and realizes the energy transfer between different energy storage units,and solves the problem of mismatched collection energy collection power.The experimental results show that the system can better collect,transfer and store environmental energy,and increase the effective power output for nodes.Aiming at the problem of “monitoring blind spot” in wireless sensor networks due to the imbalance of energy distribution among nodes,this paper proposes an improved energy consumption balanced routing protocol for wireless sensor networks.The energy-prediction algorithm is used in the improved protocol.With the help of the data transmission function of wireless sensor networks,the network load balance and energy consumption are achieved through the three links of cluster-wide election,half-cluster reselection,and cluster-in-cluster transfer.The reduction.The simulation experiments show that the improved protocol is more reasonable than the original protocol in the allocation of load energy consumption,which greatly extends the network's life cycle.The energy management of self-powered wireless sensor studied in this paper collects,stores,and distributes the ambient energy in a reasonable and effective way,which provides a solution to the practical application of self-powered wireless sensor networks.
Keywords/Search Tags:Self-power, Wireless Sensor Networks, Energy Management, Clustering Routing, Energy-balanced
PDF Full Text Request
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