A Sustainable Vehicular Based Energy Efficient Data Dissemination Approach

Salman Naseer, William Liu, Nurul I. Sakar, Peter Han Joo Chong, Edmund Lai, Rangarao Venkatesha Prasad

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)


One of the main issues for a smart city is the data aggregation from various data sources to the central control units for storage and analysis. While the core networks are winding up progressively over-burden, the cost of keeping up and extending the networks to oblige the big data of these smart cities stays high. Moreover, the utilization of these systems continues expanding the energy consumptions. Consequently, the carbon emissions amid this procedure could at long last wind up genuinely hurting the environment. In order to overcome the problems of congested networks, energy consumption, and carbon emissions we propose an energy efficient data dissemination framework. The idea is to utilize the city existing public transport infrastructure to pick up and deliver the big data from designated pick-up points and data centers. Two numerical studies evaluated in this paper confirm the noteworthy cost and energy savings can be obtained by utilizing the existing vehicle volume on the road for big data dissemination in the smart city. The analysis of energy cost and carbon emissions using the traditional min-cost flow problem is also included.

Original languageEnglish
Title of host publication27th International Telecommunication Networks and Applications Conference, ITNAC 2017
Place of PublicationPiscataway, NJ
Number of pages8
ISBN (Electronic)978-1-5090-6796-1
Publication statusPublished - 2017


  • Carbon footprints
  • Cellular Data offloading
  • D2D Communication
  • Delay tolerant network
  • Energy consumption
  • Infrastructure offloading
  • smart city

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