Abstract
Efficient data collection from railway environment is crucial for railway infrastructure monitoring. Due to the various type of data to be collected from the environment, a large number of heterogeneous sensors are installed at different places on the railway infrastructure. These sensors are equipped with low-power wireless communication transceivers and grouped into Wireless Sensor Network (WSN) domains. Each WSN domain is configured to have one or multiple sink nodes (static or mobile, carried by vehicles such as trains or drones) responsible for collecting data and forwarding them outside the WSN to a cloud server. As the number of deployed WSN domains and sensor nodes rises with a high degree of heterogeneity, the tasks of data gathering, resource optimization and Quality of Service (QoS)-based service deployment become complex and highly challenging. In this paper, we propose a new generation of WSN for adaptive data collection and forwarding, called NEWNECTAR, based on the combination of both Software Defined Radio (SDR) and Software Defined Network (SDN) technologies at the sink node. NEWNECTAR defines a universal sink node thanks to the use of a programmable transceiver in forms of a General Purpose Processor (GPP)-based SDR platform, which enables the support of multiple wireless communication technologies in a single interface. Additionally, an SDN support is added to the NEWNECTAR to efficiently control the traffic forwarding from sink nodes to the cloud server and enhance its QoS profile (bandwidth, latency, reliability, etc.). Based on the proposed architecture, theoretical performance analysis of GPP-based SDR platform has been performed and its performance has been tested with varied train speeds. The result indicates that GPP-based SDR platform can collect information for trains having speeds upto 300 km/h.
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Molla, D.M., Badis, H., George, L., Berbineau, M. (2020). NEWNECTAR: A New gEneration of Adaptable Wireless Sensor NEtwork for Way Side objeCTs in rAilway enviRonments. In: Krief, F., Aniss, H., Mendiboure, L., Chaumette, S., Berbineau, M. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2020. Lecture Notes in Computer Science(), vol 12574. Springer, Cham. https://doi.org/10.1007/978-3-030-66030-7_15
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DOI: https://doi.org/10.1007/978-3-030-66030-7_15
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