تصميم شبكة استشعار لاسلكية متينة لمراقبة استهلاك الطاقة == Robust Wireless Sensor Network For Energy Monitoring
Author name:
حيدر عبد الحميد محمد جواد العبيدي
Supervisor name:
حكمت نجم عبد الله | طارق محمد سلمان
General topic:
Electrical, Electronic and Communications Engineering
Specific topic:
Electronics and Communications Engineering
Degree:
Master
University:
Mustansiriyah University - College Of Engineering - Department Of Electrical Engineering
Language:
English
University location:
Baghdad
First pages:
34T525 - p.pdf
Abstract:
There has been a quick development in the Wireless Sensor Network (WSN) field that promises to revolutionize the way people lives. Where they have a wide range of applications especially in the monitoring applications like power consumption, military, and healthcare. This thesis has three objectives. First, to design and implement a prototype of WSN for monitoring power (as well as temperature) in buildings. Second, to investigate the bounds of coverage in different building construction materials. Third, to evaluate the amount of improvement introduced to the ZigBee transceiver when channel - coding methods are used.The basic design elements of the implemented power and temperature monitoring system includes current sensors, temperature sensors, microcontrollers, and wireless transceivers implemented using Global System for Mobile Communications/General Packet Radio Service (GSM/GPRS) platform and ZigBee technology. The use of GSM/GPRS platform allows the user to control or gather information about the system from anywhere just by sending a request using Short Message Service (SMS). In addition, the measured data can be visualized through a user friendly Graphical User Interface (GUI). Many measurements have been done to find the exact limitation of the designed system in terms of coverage and signal strength in the presence of objects of different materials including; cardboard, metal, concrete bricks, wood and corkboard. Furthermore, the MATLAB Simulink model of the proposed ZigBee transceiver uses Convolutional Coding (CC) at different code rates to improve the performance in AWGN channel, Rayleigh and Rician multipath fading channels.The results indicated that the use of ZigBee based WSN in electric power monitoring provides flexibility and helps in reducing power consumption. In addition, the experimental results show that the construction materials of buildings have varying impact on the network performance. At 4m distancebetween the base station and the sensing node, the losses in signal strength are 15, 20, 21 and 32 dBm when using metal as compared with cardboard, corkboard, wood and concrete bricks respectively.It is observed from the simulation results that using convolutional coding in ZigBee transceiver gives better performance than the traditional ZigBee transceivers and that the convolutional code of code rate 1/8 gives the best performance compared to other CC. In AWGN channel and at BER of 10 - 4, the maximum performance improvements in terms of BER obtained over traditional system are 14dB and 13.5dB for OQPSK and BPSK (868 - 900MHz) based ZigBee respectively. While these improvements are 23.5dB, 40.5dB and 19.5dB, 12.5dB in Rayleigh & Rician channels at the same BER respectively.
