Abstract
In railways, if all the systems work synchronously and accurately then only security can be ensured. To avoid manual errors, we are hereby proposing a machine-to-machine communication network which will connect all critical machinery and subsystems. It will be a data aggregation and decision-making system during the railway operations. Whole critical machinery will be having their local error detection and correction mechanisms through sensors and transducers. They also have the proposed communication capability with the sink. All threats will be collected at a common node outside the train at a global sink which forwards the train required information for next 10-km propagation. A risk score is calculated which when higher than threshold then the train is signaled to stop immediately. All the threats have their priority score. Collected threats’ priority score is added to get final risk score. This is first ever implementation of machine-to-machine network for railway security. The implementation of work is done using MATLAB v14 which is used to simulate the proposed algorithm. The simulation results are compared with the previous approaches on the basis of average transmission time. Priority score-based analysis also is done in the simulation.
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References
Rao ChM, Jaswanth BRB (2014) Crack sensing scheme in rail tracking system 4(1) 13–18
Daliri ZS, Shamshirband S, AmiriBesheli M (2011) Railway security through the use of wireless sensor networks based on fuzzy logic. Int J Phys Sci 6(3):448–458
Xiong X, Zheng K, Rongtao Xu, Xiang W, Chatzimisios P (2015) Low power wide area machine- to-machine networks: key techniques and prototype. Commun Mag IEEE 53(9):64–71
Vanimiredd A, Kumari DA (2013) Automatic broken track detection using led-ldr assembly. Int J Eng Trends Technol (IJETT) 4(7)
Sharma K, Maheshwari S, Khanna V (2014) Railway track breakage detection using vibration estimating sensor network. In: 2014 International conference on advances in computing, communications and informatics (ICACCI). IEEE, pp 2355–2362, 24–27 Sep 2014
Islam MF, Maheshwari S, Kumar Y (2015) Energy efficient railway track security using vibration sensing network. In: IEEE international conference on signal processing and integrated networks (SPIN). pp 973–978, 2015
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Suman, C., Tharani, L., Maheshwari, S. (2017). Railway Security Through Novel Machine-to-Machine Network Implementation. In: Vishwakarma, H., Akashe, S. (eds) Computing and Network Sustainability. Lecture Notes in Networks and Systems, vol 12. Springer, Singapore. https://doi.org/10.1007/978-981-10-3935-5_39
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DOI: https://doi.org/10.1007/978-981-10-3935-5_39
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