Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach

Abbas Kiani, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

150 Scopus citations


The multitiered concept of Internet of Things (IoT) devices, cloudlets, and clouds is facilitating a user-centric IoT. However, in such three tier network, it is still desirable to investigate efficient strategies to offer the computing, storage, and communications resources to the users. To this end, this paper proposes a new hierarchical model by introducing the concept of field, shallow, and deep cloudlets where the cloudlet tier itself is designed in three hierarchical levels based on the principle of LTE-advanced backhaul network. Accordingly, we explore a two time scale approach in which the computing resources are offered in an auction-based profit maximization manner and then the communications resources are allocated to satisfy the users' quality of service.

Original languageEnglish (US)
Article number8030317
Pages (from-to)2082-2091
Number of pages10
JournalIEEE Internet of Things Journal
Issue number6
StatePublished - Dec 2017

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


  • Hierarchical network architecture
  • Internet of Things (IoT)
  • mobile edge computing


Dive into the research topics of 'Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach'. Together they form a unique fingerprint.

Cite this