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Scientific Article details

Title A novel communication system approach for a Smart City based on the human nervous system
ID_Doc 38881
Authors Uribe-Pérez, N; Pous, C
Title A novel communication system approach for a Smart City based on the human nervous system
Year 2017
Published
DOI 10.1016/j.future.2016.12.035
Abstract The massive introduction of internet, architect of the Internet of Thingsparadigm, was expected to facilitate the spread of people out of the urban spaces. However, the reality is that increasingly people are moving to cities, which generates many challenges for the cities of tomorrow. In this context, the Smart Cityconcept emerges, where Information and Communication Technologies have a key role. This situation has revealed an important issue that needs to be addressed: the lack of an ubiquitous communication architecture able to deal with the expected requirements of a SC. To this end, a wide review of the existing communication frameworks and city services have been performed, which showed that existing proposals are classical fixed ad-hocsolutions for very specific problems with no resilience and common thread. By rethinking the nature of cities and considering them as living organisms, it is possible to relate the nervous systems with the communication architecture of a city. Therefore, this work proposes a novel communication architecture, ubiquitous and resilient, inspired in the human nervous system by the definition of Smart Gateways, able to satisfy the needs of a real SCand adaptable to the growing and specific requirements of every single city. Additionally, the research also includes the simulation of the communication channel with different technologies. (C) 2017 Elsevier B.V. All rights reserved.
Author Keywords Communication architectures; Gateways; Information and Communication Technologies; Internet of the things; Nervous System; Smart City
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000407983100026
WoS Category Computer Science, Theory & Methods
Research Area Computer Science
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