DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS

The rapid growth in invention and innovation of technology has driven the communication field into a new phase in which wireless sensor applications have been widely used for various purposes. The large numbers of sensor nodes deployed in certain applications could have high failure rate which infli...

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Bibliographic Details
Main Author: AZMAN, MOHAMAD AFIQ
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2014
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Online Access:http://utpedia.utp.edu.my/13473/1/FINAL%20REPORT_MOHAMAD%20AFIQ%20BIN%20AZMAN_13116.pdf
http://utpedia.utp.edu.my/13473/
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Summary:The rapid growth in invention and innovation of technology has driven the communication field into a new phase in which wireless sensor applications have been widely used for various purposes. The large numbers of sensor nodes deployed in certain applications could have high failure rate which inflicted the reliability of the wireless sensor network (WSN). The failure of sensor nodes can be affected by certain factors such as battery drop, interference of signal and malfunction of device. Due to the sensor nodes‟ failure, the quality of data transmission will be degraded as the receiver would not be able to receive the data transmitted. Thus, this project presents a proposed algorithm which could assist in recognizing and identifying faulty sensor nodes in WSN by utilizing round trip delay (RTD) time method. The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. The user interface known as Xsniffer software is used to observe the data transmitted as well as providing the user with information on time taken for the data to be delivered corresponding to the implemented algorithm. The analysis of the results obtained through tabulated data in the look-up tables has enables the user to successfully identify sensor node at fault within the network. The time taken for data to be delivered to target location evidently will exceed the threshold value (maximum time taken) to indicate that the node within the network is compromised.