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Optimal Route Selection for Error Localization in Real-Time Wireless Sensor Networks (ORSEL)

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1059))

Abstract

Wireless sensor networks provide a wide array of applications. They have crucial application areas of intrusion detection, fire detection, or several other critical information reporting applications. In such condition, any information delayed is information of no use. Thus, real-time data delivery is essential. An optimal route for fast data delivery and fault-tolerant, error-free operations are keys to such a real-time wireless sensor networks. In this paper, we propose an optimal route selection for error localization in real-time wireless sensor network (ORSEL) scheme. It can guarantee soft reliability in real-time data delivery and provides improved miss ratio of data packets. It considers the fact that there are a number of reasons that increase the end-to-end delay in data delivery in WSN. A packet en-route can be lost due to channel contention, interference, link break, dead nodes in the path, malicious/compromised node/s in path or simply die in a queue of retransmission in a node on the route. ORSEL uses a communication link trust (CLT) value of a link between two nodes which acts as the factor of deciding the minimum end-to-end delay in delivery of packet while avoiding the interference and malfunctioning nodes in the network, if any. As the results received, it is verified that the number of packets successfully delivered to the sink has increased and the miss ratio and cumulative packets consumption have improved.

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Correspondence to Anuj Kumar Jain .

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Jain, A.K., Goel, S., Prasad, D., Sharma, A. (2020). Optimal Route Selection for Error Localization in Real-Time Wireless Sensor Networks (ORSEL). In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_45

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