Research on Key Technology of Determination of Rock and Soil Permeability Coefficient Based on Wireless Sensor Network

2014 ◽  
Vol 12 (3) ◽  
pp. 638-644
Author(s):  
Zheng Guoxun ◽  
Zhang Xiaoxian ◽  
Jing Xiangdang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Permeability Coefficient ◽  
Wireless Sensor ◽  
Soil Permeability ◽  
Key Technology ◽  
Rock And Soil

Localization and Tracking of Mobile Jammer Sensor Node Detection in Multi-Hop Wireless Sensor Network

2019 ◽  
Vol 13 ◽  
Author(s):  
Hemant Kumar Gianey ◽  
K.P. Porkodi ◽  
I. Karthika
Keyword(s):  
Wireless Sensor Network ◽  
Open Access ◽  
Sensor Network ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Simulation Experiments ◽  
Wireless Medium ◽  
Localization And Tracking

The jammer in wireless sensor network is located and tracked with the open access and shared nature of the wireless medium. The existing algorithms mainly tracking the stationary jammer. Mobile jammer is often moves from one place to another become difficult. Mobile jammer location tracker algorithm is proposed to finds the location of mobile jammer with four steps selection initial examining node, determination of supporting node, trilateration localization and examining group handover. The accurate location of mobile jammer is predicted with the proposed algorithm. The proposed scheme effectives is evaluated by conducting the simulation experiments. It is observed that the proposed technique outperforms the mobile jammer tracker effectively and accurately.

Design of Wireless Sensor Network Database Based on Message Transfer

2014 ◽  
Vol 608-609 ◽  
pp. 850-854
Author(s):  
Fu Mei Liu ◽  
Wen Liang Qu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Management System ◽  
Database Management ◽  
Database Management System ◽  
Wireless Sensor ◽  
Network Node ◽  
Key Technology ◽  
Network Database ◽  
The Difference

In this paper, according to the needs of the application, discussed the necessity of constructing the database of wireless sensor network, and analyzes the difference in function of the traditional database management system, and the problems faced in the implementation; the architecture of the system is analyzed in detail, including the database and network node on the function composition, and between nodes cooperate to complete the key technology of query.

Design on Wireless Test Node for Shock Wave Field

2015 ◽  
Vol 757 ◽  
pp. 191-194
Author(s):  
Fan Li ◽  
Wei Jun Yang ◽  
Fang Qin
Keyword(s):  
Shock Wave ◽  
Wireless Sensor Network ◽  
Wave Field ◽  
Sensor Network ◽  
Field Test ◽  
Wireless Sensor ◽  
Network Node ◽  
Network Technology ◽  
Key Technology ◽  
High Test

This paper introduces the wireless sensor network technology, explores a new method for explosion shock wave test, expounds the hardware and the key technology of wireless sensor network node. By out field test It shows that the node has the advantages of convenient installation, safe and reliable, high test precision, can implement the real-time acquisits transmiss and evaluats pressure signal. The design effectively solve the bottleneck of wave field test.

scholarly journals Peningkatan Network Lifetime Menggunakan Cluster Based Pada Wireless Sensor Network

2020 ◽  
Vol 4 (01) ◽  
pp. 16-21
Author(s):  
Muhammad Hibrian Wiwi ◽  
Wardi Wardi ◽  
Agussalim Agussalim
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Sensor Network ◽  
Network Lifetime ◽  
Data Transmission ◽  
Wireless Sensor ◽  
Network Simulator ◽  
Research Activities ◽  
Leach Protocol

This series of research activities are in the form of a routing simulation using the LEACH protocol as a cluster-based mechanism method that can improve Network Lifetime in the Wireless Sensor Network protocol, using the Network Simulator 2 application device that describes data transmission, remaining nodes, and energy used. Determination of the performance and power consumption of the wireless sensor network by testing scenario one to scenario five due to the influence of the cluster to be applied, such as scenario 1 using 1 cluster (C1) consumes an average of the energy of 0.155 joules and the data sent or obtained is 72,848 bytes. Barriers or disruptions to the clusterhead affect the performance of LEACH, so there is a need for criteria or conditions to determine which nodes should be used as clusterhead.

The Research and Implementation Based on Electronic Gases Simulation System of Wireless Sensor Network

2012 ◽  
Vol 433-440 ◽  
pp. 2519-2522
Author(s):  
Li Feng Wei ◽  
Zhi Xin Zhang ◽  
Qing Hui Wang ◽  
An Song Feng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Design Principle ◽  
Rapid Development ◽  
Social Economy ◽  
Training System ◽  
Wireless Sensor ◽  
Network Technology ◽  
Key Technology ◽  
In Fire

Currently, in view of the rapid development of social economy, many problems about fire safety to be solved urgently exist in fire rescue. Therefore, the advanced wireless sensor network technique is applied in modern fire rescue. Firstly, this paper gives a brief introduction about, introducing the significance of wireless sensor network technology applied in simulation fire training system. Secondly, it introduces the basic design principle of electronic gases. Finally, it studies the functions of the system design and realization of the key technology.

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