Design of Smart Wireless Campus Network Based on Zigbee

2014 ◽  
Vol 687-691 ◽  
pp. 1864-1867
Author(s):  
Xiao Wen Qi ◽  
Zhi Ping Hao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Wireless Network ◽  
Short Range ◽  
Wireless Sensor ◽  
Network Technology ◽  
Campus Network ◽  
Low Speed ◽  
Smart Campus

As a new short-range, low-speed and low-power wireless network technology, ZigBee smart design is ideal for campus wireless sensor networks. Therefore, in order to study how to use zigBee achieve smart campus applications has a very important practical value, on the basis of technology and research Zigbee wireless smart construction on campus and abroad, combined with our practical needs of wireless smart campus, put forward a set of Zigbee-based wireless smart campus solution.

Study of Data Fusion Mechanism Based on the WSN

2013 ◽  
Vol 321-324 ◽  
pp. 600-603
Author(s):  
Wei Liu ◽  
Qin Sheng Du ◽  
Le Le Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Fusion ◽  
Wireless Sensor ◽  
Network Technology ◽  
Fusion Method ◽  
Simulation Test ◽  
Embedded Computing ◽  
New Type

Wireless sensor networks integrated four technologies including sensor, embedded computing, network technology and wireless communication. It is a new type of non-infrastructure wireless network. In this paper, a data fusion method has been brought forward based on wireless sensor networks, and through an algorithm simulation test, It is proved that the algorithm is effective to reduce the energy consumption of the network, and extend the lifetime of the network.

Highly Integrated Ultra-Low Power RF Transceivers for Wireless Sensor Networks

2018 ◽  
pp. 14-1-14-23
Author(s):  
Brian P. Otis ◽  
Yuen Hui Chee ◽  
Richard Lu ◽  
Nathan M. Pletcher ◽  
Jan M. Rabaey ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Rf Transceivers

scholarly journals Low-Power Scan Correlation-Aware Scan Cluster Reordering for Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6111
Author(s):  
Sangjun Lee ◽  
Kyunghwan Cho ◽  
Jihye Kim ◽  
Jongho Park ◽  
Inhwan Lee ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Power Reduction ◽  
Wireless Sensor ◽  
Computational Time ◽  
Test Power ◽  
Significant Power ◽  
Highly Correlated ◽  
Scan Chain

Cryptographic circuits generally are used for applications of wireless sensor networks to ensure security and must be tested in a manufacturing process to guarantee their quality. Therefore, a scan architecture is widely used for testing the circuits in the manufacturing test to improve testability. However, during scan testing, test-power consumption becomes more serious as the number of transistors and the complexity of chips increase. Hence, the scan chain reordering method is widely applied in a low-power architecture because of its ability to achieve high power reduction with a simple architecture. However, achieving a significant power reduction without excessive computational time remains challenging. In this paper, a novel scan correlation-aware scan cluster reordering is proposed to solve this problem. The proposed method uses a new scan correlation-aware clustering in order to place highly correlated scan cells adjacent to each other. The experimental results demonstrate that the proposed method achieves a significant power reduction with a relatively fast computational time compared with previous methods. Therefore, by improving the reliability of cryptography circuits in wireless sensor networks (WSNs) through significant test-power reduction, the proposed method can ensure the security and integrity of information in WSNs.

scholarly journals Performance Analysis of Q-Leach Algorithm in WSN

2020 ◽  
Vol 5 (10) ◽  
pp. 1-4
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transmission ◽  
Short Range ◽  
Sensor Node ◽  
Life Time ◽  
Time Span ◽  
Sensor Nodes ◽  
Wireless Sensor

Sensor nodes are exceedingly energy compelled instrument, since it is battery operated instruments. In wsn network, every node is liable to the data transmission through the wireless mode [1]. Wireless sensor networks (WSN) is made of a huge no. of small nodes with confined functionality. The essential theme of the wireless sensor network is energy helpless and the WSN is collection of sensor. Every sensor terminal is liable to sensing, store and information clan and send it forwards into sink. The communication within the node is done via wireless network [3].Energy efficiency is the main concentration of a desining the better routing protocol. LEACH is a protocol. This is appropriate for short range network, since imagine that whole sensor node is capable of communication with inter alia and efficient to access sink node, which is not always correct for a big network. Hence, coverage is a problem which we attempt to resolve [6]. The main focus within wireless sensor networks is to increase the network life-time span as much as possible, so that resources can be utilizes efficiently and optimally. Various approaches which are based on the clustering are very much optimal in functionality. Life-time of the network is always connected with sensor node’s energy implemented at distant regions for stable and defect bearable observation [10].

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