Towards A Simple and Efficient VDTN Routing Protocol for Data Collection in Smart Cities

Er, Ngurah Indra; Singh, Kamal Deep; Couturier, Christophe; Bonnin, Jean-Marie

doi:10.48550/arxiv.2108.09044

Cited by 1 publication

(2 citation statements)

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“…Efficient data collection through managing energy consumption, resource utilization, and minimizing transmission costs is necessary. In another work, Er et al [120] did a study on Vehicular Delay Tolerant Networks (VDTN) protocols to develop better routing protocols to collect data in smart cities. Diverse applications produce heterogenous data and different methods are usually deployed to collect those data in this layer.…”

Section: Data Collection Layermentioning

confidence: 99%

“…NLP is an AI sub-domain that can be applied in the various layers of smart city architecture like the data collection layer and user-interface or application layer besides the standard, data analysis phase of the data management layer. Meza et al [120] proposed some of the NLP applications in smart cities such as text-based digital assistants,…”

Section: Problems In Smart Citymentioning

confidence: 99%

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Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Tyagi

Bhushan

2023

Wireless Pers Commun

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Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the people by aiding in fast urbanization and resource management through sustainable and scalable innovative solutions. The penetration of Information and Communication Technology (ICT) in smart cities has been a major contributor to keeping up with the agility and pace of their development. In this paper, we have explored Natural Language Processing (NLP) which is one such technical discipline that has great potential in optimizing ICT processes and has so far been kept away from the limelight. Through this study, we have established the various roles that NLP plays in building smart cities after thoroughly analyzing its architecture, background, and scope. Subsequently, we present a detailed description of NLP's recent applications in the domain of smart healthcare, smart business, and industry, smart community, smart media, smart research, and development as well as smart education accompanied by NLP's open challenges at the very end. This work aims to throw light on the potential of NLP as one of the pillars in assisting the technical advancement and realization of smart cities.

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Section: Data Collection Layermentioning

confidence: 99%

Section: Problems In Smart Citymentioning

confidence: 99%