Energy-efficient cluster management in heterogeneous vehicular networks

Ping Dong, Xiaojiang Du, Jianan Sun, Hongke Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

We consider the problem of energy-efficient cluster management in heterogeneous vehicular networks. In certain vehicular networking applications such as collision avoidance, multiple wireless technologies like Dedicated Short-Range Communication (DSRC) and LTE are combined to make use of both of their advantages. Thus, an optimum cluster management can be used to reduce the power consumption of Inter-Vehicle Communication (IVC) by centrally deciding methods. We first describe the system model and formulate the problem of energy-efficient Cluster Head (CH) selection as the p-median problem in graph theory. Then, we describe a direct enumeration method and a heuristic method to solve the problem by minimizing the total transmission power consumed by all the vehicles. Finally, simulation and comparison are performed to show the energy efficiency of our method.

Original languageEnglish
Title of host publication2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Pages644-649
Number of pages6
ISBN (Electronic)9781467399555
DOIs
StatePublished - 6 Sep 2016
Event35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, United States
Duration: 10 Apr 201614 Apr 2016

Publication series

NameProceedings - IEEE INFOCOM
Volume2016-September
ISSN (Print)0743-166X

Conference

Conference35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Country/TerritoryUnited States
CitySan Francisco
Period10/04/1614/04/16

Keywords

  • DSRC
  • efficient
  • energy
  • heterogeneous
  • vehicle

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