Green Wi-Fi Implementation and Management in Dense Autonomous Environments for Smart Cities

Yaodong Zhang, Chunxiao Jiang, Jingjing Wang, Zhu Han, Jian Yuan, Jiannong Cao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


Advanced informatics technologies facilitate the construction of green smart cities, especially the Wi-Fi implementation and management, for rapidly increasing personal Wi-Fi devices in autonomous environments residing in nonoverlapped channels often result in low energy efficiency and severe cochannel interference. In this paper, a green Wi-Fi management framework is constructed in order to reduce the overall energy consumption through turning off a portion of access points (APs) and aggregating their users to the other active APs. A Tabu-search-assisted active AP selection algorithm is proposed to minimize the power consumption with a seamless wireless converge. For the active APs, based on our defined metric airtime cost that is integrated by the in-range interference and the hidden terminal interference, a reinforcement-learning-aided AP self-management algorithm is proposed to dynamically adjust APs' channels in the partially overlapped channel space. Extensive simulations and field experiments demonstrate that the power consumption can be reduced by about 65%, and the airtime cost of APs can be reduced by 50% compared with the typical least congestion channel search algorithm.

Original languageEnglish
Pages (from-to)1552-1563
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Issue number4
Publication statusPublished - Apr 2018


  • Energy efficiency
  • green Wi-Fi
  • partially overlapped channels (POCs)
  • self-management

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering


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