scholarly journals Enhancement in lifetime of sensor node using Data Reduction Technique in Wireless Sensor Network

2016 ◽  
Vol 145 (11) ◽  
pp. 1-5 ◽  
Author(s):  
Nikhil Kumar ◽  
Ankit Kasana ◽  
Vibhav Kumar
2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.


Author(s):  
Sardjoeni Moedjiono ◽  
Aries Kusdaryono

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.


2016 ◽  
Vol 12 (06) ◽  
pp. 20 ◽  
Author(s):  
Li Hua ◽  
Xu Da ◽  
Fuquan Zhao

For the sake of overcoming the shortcoming of some equipment such as complex wiring and much measurement parameter, a wireless state monitoring system is developed based on Zigbee, which was composed of upper monitor control PC, wireless gateway CC2530, sensor node CC2530 and sensor module. By studying the characteristic of the equipment, wireless sensor network of a center controller and six wireless sensor node was made up. Then the nod hardware circuit were designed, the wireless module software was programmed by C language, and furthermore, the user interface software was developed based on LabVIEW. The test is done to show that the system can meet state monitoring requirements for some equipment.


2015 ◽  
Vol 2 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Satoshi Yoshida ◽  
Naoki Hasegawa ◽  
Shigeo Kawasaki

A novel wireless sensor network system with compatibility of microwave power transmission (MPT) using a Gallium Nitride (GaN) power amplifier has been fabricated and tested. The sensor node operates using electrical power supplied by the MPT system. Time- and frequency-division operations are proposed for the compatibility. Under the frequency-division operation, receiving signal strength indicator of −85 dBm and packet error rate of <1% were measured when the available DC power of a rectifier with 160 mW output power. Under 120-min measurement, sustainable power balance between radio-frequency–DC conversion and power consumption in stable operation of the sensor node was achieved.


2012 ◽  
Vol 503-504 ◽  
pp. 1514-1517
Author(s):  
Hai Shen Peng

In view of static wireless sensor node deployment efficiency low and dynamic wireless sensor node deployment non-uniform question, proposed based on a sensation environment object minute bunch with the motion proxy node gathering data method, effectively solves wireless sensor node deployment energy management and data collection and so on crucial the technical difficult problems, thus enhances the wireless sensor network the application value


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