Abstract
Track maintenance is the primary concern for metro railways. Currently, tracks are inspected manually which consumes a lot of time, labor and power. Condition monitoring using Wireless Sensor Network can reduce maintenance time through automated monitoring by detecting faults before they escalate. Vibration estimating sensors are laid along the length of tracks which will have a vast amount of data to be communicated where senders and receivers are sensors, trains and sink. Thus, we have used cluster based routing with data aggregation to reduce communication overhead and cluster based fault detection technique to handle cluster head failure as part of network setup and then implemented our proposed track fault detection algorithm in this network. Our proposed track fault detection algorithm provides better results in terms of total energy consumed and total time taken to detect and update train regarding track fault location.
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Komalan, N., Chauhan, A. (2018). Locating Real Time Faults in Modern Metro Train Tracks Using Wireless Sensor Network. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-10-8660-1_2
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DOI: https://doi.org/10.1007/978-981-10-8660-1_2
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