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Energy-Efficient Massive Data Dissemination through Vehicle Mobility in Smart Cities.

Salman Naseer1,2, William Liu3, Nurul I Sarkar4

  • 1Department of Information Technology and Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand. salman.naseer@aut.ac.nz.

Sensors (Basel, Switzerland)
|November 6, 2019
PubMed
Summary

Smart cities can reduce energy consumption and carbon emissions by using vehicle mobility for data transmission. This approach offers faster data transfer and significant environmental benefits compared to traditional networks.

Keywords:
carbon emissiondelay tolerant networkenergy consumptioninfrastructure offloadingopportunistic networksmart cityvehicular mobility

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Area of Science:

  • Computer Science
  • Environmental Science
  • Urban Planning

Background:

  • Smart cities generate massive data, straining conventional transmission networks.
  • High data transmission leads to significant energy consumption and carbon emissions.
  • Resource over-provisioning is often required to meet data demands and resilience.

Purpose of the Study:

  • To propose an energy-efficient and carbon-reducing approach for smart city data dissemination.
  • To leverage existing vehicle mobility as an alternative communication channel.
  • To address the environmental impact of massive data transmission in urban environments.

Main Methods:

  • Utilizing the daily mobility of vehicles as a data dissemination channel.
  • Simulating data collection and transfer from scattered sources to control centers.
  • Case study conducted in Auckland, New Zealand.

Main Results:

  • The proposed vehicle mobility approach achieved up to four times faster data transfer than conventional networks.
  • This method resulted in approximately 32% less energy consumption and carbon emissions.
  • Demonstrated effectiveness and efficiency in a real-world urban setting.

Conclusions:

  • Vehicle mobility offers a viable and sustainable solution for smart city data dissemination.
  • The approach significantly reduces energy consumption and carbon footprint.
  • Provides a faster and more environmentally friendly alternative to traditional data transmission infrastructure.