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Clustering and routing method of wireless rechargeable sensor network

A sensor network, clustering and clustering technology, which is applied in the field of wireless rechargeable sensor network clustering and clustering routing, and can solve the problem that the clustering routing protocol is not applicable

Active Publication Date: 2018-01-19
安徽布拉特智能科技有限公司
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Problems solved by technology

[0003] At present, most of the researches on clustering routing protocols are used in WSNs, and there is no report on clustering routing algorithms for WRSNs so far.
At the same time, there are mobile wireless energy supply / data collection devices in the WRSNs network, which can replenish energy for sensor nodes and collect data information of sensor nodes, which affects the node energy and data transmission paths of the network, so the clustering routing protocol in WSNs is in Not applicable in WRSNs

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  • Clustering and routing method of wireless rechargeable sensor network
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  • Clustering and routing method of wireless rechargeable sensor network

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specific Embodiment

[0098] The wireless rechargeable sensor network clustering routing method k-CRA of the present invention clusters the sensor nodes in the wireless rechargeable sensor network, and also proposes a wireless rechargeable sensor suitable for clustering based on k-Means clustering The cluster head data transmission mechanism and routing method in the network improve the characteristics of network energy balance.

[0099] Such as Figure 4 As shown, the wireless rechargeable sensor network adopted is to establish a Cartesian coordinate system as shown in the figure on a rectangular area P of 40m×40m, and randomly deploy m rechargeable sensor nodes, fixed base station B, service station S, mobile wireless Energy supply / data collection equipment WCE.

[0100] Some parameters involved in the embodiment are shown in Table 1:

[0101] Part of the parameter list involved in the embodiment of table 1

[0102] Parameter meaning

parameter symbol

parameter value

Cha...

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Abstract

The invention discloses a clustering and routing method of a wireless rechargeable sensor network. In consideration of influences of the characteristic, that mobile wireless energy supply / data collection equipment WCE in the wireless rechargeable sensor network can collect data and replenish energy to nodes, on network energy distribution and routing, the k-Means-based clustering and routing method of the wireless rechargeable sensor network is provided and includes three phases of initialization, cluster construction and data transmission. The clustering and routing method has the advantagesthat on the condition of knowing the charging path of the mobile wireless energy supply / data collection equipment WCE, the charging radius of the mobile wireless energy supply / data collection equipment WCE, current residual energy of senor nodes and distances between the sensor nodes and fixed stations are considered for clustering, and network routing schemes are optimized.

Description

technical field [0001] The invention relates to the field of wireless rechargeable sensor network methods, in particular to a wireless rechargeable sensor network clustering routing method. Background technique [0002] Wireless Rechargeable Sensor Networks (WRSNs) is a new type of sensor network that introduces wireless power transfer technology into traditional wireless sensor networks (Wireless Sensor Networks, WSNs). In recent years, how to design a clustering routing strategy so that the entire network does not die, the energy in the network tends to be balanced, and the energy efficiency of the network is significantly improved is a problem worth studying in the application of WRSNs. [0003] At present, most of the researches on the clustering routing protocol are used in WSNs, and there is no report on the clustering routing algorithm of WRSNs so far. At the same time, there are mobile wireless energy supply / data collection devices in the WRSNs network, which can su...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/02H04W40/04H04W40/32H04W84/18
Inventor 魏振春刘菲吕增威韩江洪石雷孙仁浩王旭夏成凯冯琳
Owner 安徽布拉特智能科技有限公司
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