Cloud of Things for Sensing-As-A-Service: Architecture, Algorithms, and Use Case

Sherif Abdelwahab, Bechir Hamdaoui, Mohsen Guizani, Taieb Znati

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)

Abstract

We propose Cloud of Things for sensing-As-A-service: A global architecture that scales up cloud computing by exploiting the global sensing resources of the Internet of Things (IoT) to enable remote sensing. Cloud of Things enables in-network distributed processing of sensors data offered by the globally available IoT devices and provides a global platform for meaningful and responsive data analysis and decision making. We propose a distributed sensing resource discovery and virtualization algorithms that efficiently deploy virtual sensor networks on top of a subset of the selected IoT devices. We show, through analysis and simulations, the potential of the proposed solutions to realize virtual sensor networks with minimal physical resources, reduced communication overhead, and low complexity. We also design an uncoordinated, distributed algorithm that relies on the selected sensors to estimate a set of parameters without requiring synchronization among the sensors. Our simulations show that the proposed estimation algorithm, when compared to conventional alternating direction method of multipliers (ADMMs), reduces communication overhead significantly without compromising the estimation error. In addition, the convergence time, though increases slightly, is still linear as in the case of conventional ADMM.

Original languageEnglish
Article number7457602
Pages (from-to)1099-1112
Number of pages14
JournalIEEE Internet of Things Journal
Volume3
Issue number6
DOIs
Publication statusPublished - Dec 2016
Externally publishedYes

Keywords

  • Cloud computing
  • Internet of Things (IoT)
  • remote sensing
  • virtualization
  • wireless sensor network

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