Abstract
The rapid growth in the development of IoT leads to the increased demand for real-time and low-latency services, which is challenging for the traditional cloud computing model. One best solution emerged, is the Fog Computing, which provides services and resources at the network’s edge. In this paper, we consider one of the IoT applications in smart cities, Vehicular Monitorization. Every vehicle in the smart cities communicates their information through the Road Side Units (RSU). The RSU must be utilized optimally and minimally while covering up a maximum range of vehicles. This paper proposes an infrastructure for vehicles and RSUs to use the Fog computing layer for its enumeration process and proposes an efficient Advanced Resource Provisioning (ARP) algorithm to minimize the number of RSUs utilized in the vehicular monitorization. Results show that the cost and power consumption of RSUs has also been reduced considerably with the minimization of RSU’s.
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Jeya Shree, G., Padmavathi, S. (2019). An Adaptive ARP Approach for Fog-Based RSU Utilization. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 105. Springer, Singapore. https://doi.org/10.1007/978-981-13-1927-3_1
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DOI: https://doi.org/10.1007/978-981-13-1927-3_1
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