An evolutionary graph-based approach for managing self-organized IoT networks

Yara Mahfood Haddad, Hesham H. Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wireless sensor networks (WSNs) are one of the most rapidly developing information technologies and promise to have a variety of applications in Next Generation Networks (NGNs) including the IoT. In this paper, the focus will be on developing new methods for efficiently managing such large-scale networks composed of homogeneous wireless sensors/devices in urban environments such as homes, hospitals, stores and industrial compounds. Heterogeneous networks were proposed in a comparison with the homogeneous ones. The efficiency of these networks will depend on several optimization parameters such as the redundancy, as well as the percentages of coverage and energy saved. We tested the algorithm using different densities of sensors in the network and different values of tuning parameters for the optimization parameters. Obtained results show that our proposed algorithm performs better than the other greedy algorithm. Moreover, networks with more sensors maintain more redundancy and better percentage of coverage. However, it wastes more energy. The same method will be used for heterogeneous wireless sensors networks where devices have different characteristics and the network acts more efficient.

Original languageEnglish (US)
Title of host publicationMobiWac 2017 - Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access, Co-located with MSWiM 2017
PublisherAssociation for Computing Machinery, Inc
Pages113-120
Number of pages8
ISBN (Electronic)9781450351638
DOIs
StatePublished - Nov 21 2017
Event15th ACM International Symposium on Mobility Management and Wireless Access, MobiWac 2017 - Miami, United States
Duration: Nov 21 2017Nov 25 2017

Publication series

NameMobiWac 2017 - Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access, Co-located with MSWiM 2017

Other

Other15th ACM International Symposium on Mobility Management and Wireless Access, MobiWac 2017
CountryUnited States
CityMiami
Period11/21/1711/25/17

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Keywords

  • Heterogeneous
  • Homogeneous
  • IoT
  • Self-organized networks
  • Wireless sensor network

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Information Systems
  • Computer Networks and Communications

Cite this

Haddad, Y. M., & Ali, H. H. (2017). An evolutionary graph-based approach for managing self-organized IoT networks. In MobiWac 2017 - Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access, Co-located with MSWiM 2017 (pp. 113-120). (MobiWac 2017 - Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access, Co-located with MSWiM 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3132062.3132068