Smart airfield lighting system (SALS) based on ARM7 for airport ground lighting

Basharudin, N. W.; Azir, Ku Nurul Fazira Ku; Yaakob, Naimah

doi:10.1109/iced.2016.7804648

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The airfield lighting system (ALS) is an important safety feature, which is necessary at every point for the implementation of night flying. Additionally, there is also a taxiway lighting that will provide a clear view and enable airplanes to reach the taxi platform [22]. The ALS incorporates connectors, lights, cabling, computer hardware, software, and sensors.…”

Section: Demonstrationmentioning

confidence: 99%

An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

Mijuskovic

Bemthuis

Aldea

et al. 2020

2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)

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Followed by the introduction of IoT and new sustainable technologies, energy management, Quality of Service and decrease of communication costs become important and complex for enterprise systems at airports. The aviation authorities' reports reveal that the airport ICT investments are mainly focused on travel safety, mobile commerce, and new technologies. The main idea behind a smart airport is to deploy IoT network managed through a Cloud-Fog-Edge paradigm for a smart platform and optimize the airport's efficiency. An IoT cloud-based platform solution supports multiple types of data, advanced analytics, artificial intelligence, and machine learning techniques. However, cloud computing has certain limitations such as increased delay in data reporting, increased latency in accessing user network, limited customization, increased reliance on external network and data privacy. Fog-Cloud and Edge-Cloud paradigms can overcome the weaknesses of cloud computing architectures. Therefore, to understand the organizational impact of combining the usage of cloud, fog, and edge computing, we created an enterprise architecture that can be applied in a smart airport demonstration study. The enterprise architecture modelling was done by using ArchiMate and validated by means of an expert assessment and prototype implementation.

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Section: Demonstrationmentioning

confidence: 99%