Multi-sensor data fusion for low power transmission of wireless sensor network in a greenhouse

2017 ◽  
pp. 201-208
Author(s):  
R. Wei ◽  
L. Xu ◽  
X. Wang
Author(s):  
VINEETA GUPTA ◽  
KOMAL GUPTA

In this paper feasibility of risk monitoring of buildings in two wireless sensor network is presented, firstly by using MICA Mote and then by MEMS. Also, it will be verified that the MEMS sensors are superior as it provides high quality sensor data and no data loss as compared to MICA Mote. In order to assess earthquakes the structures is monitored firstly by using a smart sensor based on the Berkeley Mote platform. The Mote has on-board microprocessor and ready-made wireless communication capabilities. In this paper, the performance of the Mote is investigated through shaking table tests employing a two-story steel structure. The feasibility of risk monitoring for buildings is also discussed. In building monitoring using MEMS, a low power wireless network employing capacitive MEMS which is custom-developed,3D accelerated sensor and a low power readout ASIC is used at the sensor nodes. After the the earthquake, the plastic hinge activation of structure is being measured using MEM sensor either periodically or on demand by the base station. During an earthquake the accelerometers are used to measure the seismic response of the structure. The seismic response is recorded by the accelerometer based on the local acceleration data and remote triggering from the base station. The base station is based on acceleration data from multiple sensors across the structure. In a 800 MHZ band, a low power architecture had been implemented over an 802.15.4 MAC.


Sadhana ◽  
2017 ◽  
Vol 42 (7) ◽  
pp. 1083-1090 ◽  
Author(s):  
SOUMITRA DAS ◽  
S BARANI ◽  
SANJEEV WAGH ◽  
S S SONAVANE

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