A model for self-deployment of autonomous mobile sensor network in an unknown indoor environment

Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic

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

7 Scopus citations


Wireless sensor networks (WSN) emerge at the center of the fast expanding Internet of Things (IoT) revolution, and hence increased research efforts are being directed towards its efficient deployment, optimization and adaptive operation. Rapid deployment of WSN in an unknown open environment is a critical challenge that involves finding optimal locations for the network nodes to deliver optimally balanced sensing and communication services at the maximum possible coverage subject to complex mutual constraints. We address this challenge with a variant of the Voronoi-based algorithm that leverages the converged movement towards Voronoi cells’ centers with the intelligent nodes’ provisioning algorithm to deliver fully automated and autonomous WSN that rapidly self-deploys itself to any finite indoor environment without using any prior knowledge of the size and structure of the target space. Sequential provisioning supports realistic implementation that accounts for collision avoidance and mitigates the risk of wasteful over-deployment. The preliminary comparative simulation results carried out in a simplified environment indicate very fast convergence to the well balanced WSN at the fairly small deployment cost and thereby validate our model as a very promising compared to the previous approaches to WSN deployment.

Original languageBritish English
Title of host publicationAd Hoc Networks - 9th International Conference, AdHocNets 2017, Proceedings
EditorsThomas Kunz, Yifeng Zhou
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319744384
StatePublished - 2018
Event9th International Conference on Ad Hoc Networks, AdHocNets 2017 - [state] ON, Canada
Duration: 28 Sep 201729 Sep 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume223 LNICST
ISSN (Print)1867-8211


Conference9th International Conference on Ad Hoc Networks, AdHocNets 2017
City[state] ON


  • Coverage optimization
  • Mobile sensor nodes
  • Self-deployment network
  • Voronoi-based algorithm


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