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Related Experiment Video

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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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A Middleware Solution for Wireless IoT Applications in Sparse Smart Cities.

Paolo Bellavista1, Carlo Giannelli2, Stefano Lanzone3

  • 1DISI-Department of Computer Science and Engineering, University of Bologna, Bologna 40136, Italy. paolo.bellavista@unibo.it.

Sensors (Basel, Switzerland)
|November 4, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces RAMP-WIA, a system enabling smartphone applications for wireless Internet of Things (IoT) in smart cities. It efficiently manages multi-hop networks and device interactions for remote monitoring and control.

Keywords:
Internet-of-Thingsdistributed actuationopportunistic networkingsmart cityspontaneous connectivity

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Area of Science:

  • Computer Science
  • Wireless Networking
  • Internet of Things (IoT)

Background:

  • Ubiquitous mobile devices with wireless capabilities and sensors enable new Internet of Things (IoT) applications.
  • Infrastructure-less, multi-hop wireless networks are emerging, with user devices acting as nodes and sensors.
  • Sparse smart city environments present unique challenges for deploying and managing IoT applications.

Purpose of the Study:

  • To present Real Ad-hoc Multi-hop Peer-to peer-Wireless IoT Application (RAMP-WIA), a novel solution for developing, deploying, and managing applications in smart cities.
  • To enable user collaboration for remote monitoring and control of devices via smartphone applications.
  • To address challenges in dynamic network topology, opportunistic packet dispatching, and reliable actuation.

Main Methods:

  • Development of RAMP-WIA middleware for dynamic configuration of wireless links.
  • Implementation of opportunistic multi-hop packet dispatching algorithms.
  • Design of reliable actuation mechanisms considering node reachability and timeliness.
  • Inclusion of over-the-air software update capabilities for network nodes.

Main Results:

  • Demonstrated feasibility and soundness of the RAMP-WIA approach through realistic deployment scenarios.
  • Showcased the efficiency of the implemented middleware on testbeds using Android smartphones and Raspberry Pi devices.
  • Validated the system's capability to manage dynamic network changes and ensure reliable device interaction.

Conclusions:

  • RAMP-WIA provides a viable solution for developing and managing IoT applications in sparse, collaborative smart city environments.
  • The system effectively handles the complexities of ad-hoc, multi-hop wireless networks with dynamic topologies.
  • Performance results confirm the efficiency and practicality of RAMP-WIA for real-world IoT deployments.