Title |
A Smart City Internet for Autonomous Systems |
ID_Doc |
45525 |
Authors |
Falco, G |
Title |
A Smart City Internet for Autonomous Systems |
Year |
2020 |
Published |
|
DOI |
10.1109/SPW50608.2020.00051 |
Abstract |
A smart city involves critical infrastructure systems that have been digitally enabled. Increasingly, many smart city cyber-physical systems are becoming automated. The extent of automation ranges from basic logic gates to sophisticated, artificial intelligence (AI) that enables fully autonomous systems. Because of modern society's reliance on autonomous systems in smart cities, it is crucial for them to operate in a safe manner; otherwise, it is feasible for these systems to cause considerable physical harm or even death. Because smart cities could involve thousands of autonomous systems operating in concert in densely populated areas, safety assurances are required. Challenges abound to consistently manage the safety of such autonomous systems due to their disparate developers, manufacturers, operators and users. A novel network and a sample of associated network functions for autonomous systems is proposed that aims to provide a baseline of safety for autonomous systems in a smart city ecosystem. A proposed network called the Assured Autonomous Cyber-Physical Ecosystem (AACE) would be separate from the Internet, and enforces certain functions that enable safety through active networking. Each smart city could dictate the functions for their own AACE, providing a means for enforcing safety policies across disparate autonomous systems operating in the city's jurisdiction. Such a network design sits at the margins of the end-to-end principle, which is warranted considering the safety of autonomous systems is at stake as is argued in this paper. Without a scalable safety strategy for autonomous systems as proposed, assured autonomy in smart cities will remain elusive. |
Author Keywords |
Smart City; Assured Autonomy; Safety; Autonomous System; End-to-End Argument; Active Network; Cyber Physical System |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000674766800033 |
WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods |
Research Area |
Computer Science |
PDF |
https://ieeexplore.ieee.org/ielx7/9283745/9283819/09283868.pdf
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