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A master's thesis from Aalborg University
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Planning and design of a Smart City Metro-Access network

Authors

;

Term

4. term

Publication year

2013

Submitted on

Pages

95

Abstract

Smart City betegner en by, der bruger digitale kommunikationsteknologier til at styre sine tjenester bæredygtigt til gavn for borgerne. For at understøtte anvendelser som forbundne sensorer, trafikkontrol og offentlig internetadgang kræves en ny netværksinfrastruktur med høj tjenestekvalitet – det vil sige pålidelige, hurtige forbindelser med lav forsinkelse. Dette speciale analyserer disse behov og foreslår en hybrid netværksarkitektur, der kombinerer optisk fiber og trådløse forbindelser. Arkitekturen er tænkt som Smart Cityens metro-adgangsnet, den del af systemet der forbinder hjem, virksomheder og sensorer med byens kernenet. Arbejdet fokuserer på design og planlægning af dette net. Aalborg Kommune i Danmark bruges som casestudie til at vise, hvordan arkitekturen kan implementeres. Optimeringsalgoritmer anvendes i planlægningen af radio- og fiberdele for at udnytte ressourcerne effektivt og opfylde tjenestekravene.

A Smart City is an urban environment that uses digital communication technologies to manage services sustainably for the benefit of citizens. To support applications such as connected sensors, traffic control, and public connectivity, the city needs a new network infrastructure that can deliver high quality of service—meaning reliable, fast connections with low delays. This thesis analyzes these needs and proposes a hybrid network architecture that combines optical fiber and wireless links. The architecture is intended to serve as the Smart City metro-access network, the part of the system that connects homes, businesses, and sensors to the city’s core network. The work focuses on how to design and plan this network. Aalborg Municipality in Denmark is used as a case study to show how the architecture could be deployed. Optimization algorithms are applied to plan radio and fiber elements so that the network uses resources efficiently while meeting service requirements.

[This abstract was generated with the help of AI]