Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities

Lucas, Clemencio Morales; López, Luis Fernando de Mingo; Blas, Nuria Gómez

doi:10.3390/s18124094

Cited by 8 publications

(4 citation statements)

References 41 publications

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“…The concept is similar to the one mentioned in the cluster based VANETs before. A Swarm Intelligence based scalable, self-organizing, and robust Urban Public Transport System (UPTS) concept has been presented in [80].…”

Section: Discussionmentioning

confidence: 99%

Multi-Layer Problems and Solutions in VANETs: A Review

Khan

Lee

2019

Electronics

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The Dedicated Short Range Communication (DSRC) technology supports the vehicular communications through Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) Communication, by operating at 5.9 GHz band (U.S. Standard). The Physical (PHY) and Medium Access Control (MAC) Layer are defined by the IEEE 802.11p, while the IEEE 1609 family of standards define the Wireless Access in Vehicular Environment (WAVE); a suite of communication and security standards in the Vehicular Area Networks (VANETs). There has been a lot of research regarding several challenges in VANETs, from spectrum utilization to multichannel operation and from routing to security issues. The aim of all is to improve the performance of the network and support scalability in VANETs; which is defined as the ability of the network to handle the addition of vehicles (nodes) without suffering noticeable degradation of performance or administrative overhead. In this paper, we aim to highlight multilayer challenges concerning the performance of the VANETs, the already proposed solutions, and the possible future work.

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Section: Discussionmentioning

confidence: 99%

Multi-Layer Problems and Solutions in VANETs: A Review

Khan

Lee

2019

Electronics

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“…The sixth article in this group is entitled "Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities" [10], by Clemencio Morales Lucas, Luis Fernando De Mingo López and Nuria Gómez Blas. The authors apply Swarm Intelligence to model the intelligence of smart cities, by considering a swarm of digital telecommunication networks (the nerves), ubiquitously embedded intelligence, sensors and tags, and software.…”

Section: Summary Of the Contributions In This Special Issuementioning

confidence: 99%

Algorithm and Distributed Computing for the Internet of Things

Gómez–Pulido

Silva

Hara

2020

Sensors

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The ongoing generalization of Internet of Things and its presence and application in multiple fields is generating a large amount of data that can be used to extract knowledge, among other purposes. In this context, algorithmic techniques and efficient computer systems provide an opportunity to successfully address efficient data processing and intelligent data analysis. As a result, multiple services can be improved, resources can be optimized and real-world problems of interest can be solved. This Special Issue on Algorithm and Distributed Computing for the Internet of Things gives the opportunity to know recent advances in the application of modern technologies hardware and software to the Internet of Things.

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“…However, moving from a traditional city to an intelligent city entails a great technical and socio-cultural effort, in addition to a high investment in physical and economic resources. The questions to answer, before considering a smart city environment, are broad and require specialists in different areas to work together under the objective of optimizing resources [3].…”

Section: Introductionmentioning

confidence: 99%

Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus

2019

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Currently, the integration of technologies such as the Internet of Things and big data seeks to cover the needs of an increasingly demanding society that consumes more resources. The massification of these technologies fosters the transformation of cities into smart cities. Smart cities improve the comfort of people in areas such as security, mobility, energy consumption and so forth. However, this transformation requires a high investment in both socioeconomic and technical resources. To make the most of the resources, it is important to make prototypes capable of simulating urban environments and for the results to set the standard for implementation in real environments. The search for an environment that represents the socioeconomic organization of a city led us to consider universities as a perfect environment for small-scale testing. The proposal integrates these technologies in a traditional university campus, mainly through the acquisition of data through the Internet of Things, the centralization of data in proprietary infrastructure and the use of big data for the management and analysis of data. The mechanisms of distributed and multilevel analysis proposed here could be a powerful starting point to find a reliable and efficient solution for the implementation of an intelligent environment based on sustainability.

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Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities

Cited by 8 publications

References 41 publications

Multi-Layer Problems and Solutions in VANETs: A Review

Multi-Layer Problems and Solutions in VANETs: A Review

Algorithm and Distributed Computing for the Internet of Things

Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus

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