Optimizing mission critical data dissemination in massive IoT networks

Muhammad Junaid Farooq, Hesham Elsawy, Quanyan Zhu, Mohamed Slim Alouini

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

Abstract

Mission critical data dissemination in massive Internet of things (IoT) networks imposes constraints on the message transfer delay between devices. Due to low power and communication range of IoT devices, data is foreseen to be relayed over multiple device-to-device (D2D) links before reaching the destination. The coexistence of a massive number of IoT devices poses a challenge in maximizing the successful transmission capacity of the overall network alongside reducing the multi-hop transmission delay in order to support mission critical applications. There is a delicate interplay between the carrier sensing threshold of the contention based medium access protocol and the choice of packet forwarding strategy selected at each hop by the devices. The fundamental problem in optimizing the performance of such networks is to balance the tradeoff between conflicting performance objectives such as the spatial frequency reuse, transmission quality, and packet progress towards the destination. In this paper, we use a stochastic geometry approach to quantify the performance of multi-hop massive IoT networks in terms of the spatial frequency reuse and the transmission quality under different packet forwarding schemes. We also develop a comprehensive performance metric that can be used to optimize the system to achieve the best performance. The results can be used to select the best forwarding scheme and tune the carrier sensing threshold to optimize the performance of the network according to the delay constraints and transmission quality requirements.

Original languageEnglish (US)
Title of host publication2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783901882906
DOIs
StatePublished - Jun 27 2017
Event15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017 - Paris, France
Duration: May 15 2017May 19 2017

Publication series

Name2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017

Other

Other15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017
CountryFrance
CityParis
Period5/15/175/19/17

ASJC Scopus subject areas

  • Control and Optimization
  • Modeling and Simulation
  • Computer Networks and Communications

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  • Cite this

    Farooq, M. J., Elsawy, H., Zhu, Q., & Alouini, M. S. (2017). Optimizing mission critical data dissemination in massive IoT networks. In 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017 [7959930] (2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/WIOPT.2017.7959930