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Probabilistic-Based Broadcasting for EM-based Wireless Nanosensor Networks

Published: 04 December 2017 Publication History

Abstract

Wireless nano sensors networks (WNSN) have emerged recently to allow nanonodes to communicate to each other using nano-communication mechanisms. Nanodevices are characterized by limited resources, and new communication protocols are, therefore, required. For instance, the flooding mechanism has been proposed for broadcasting in electromagnetic-based WNSNs. While the flooding scheme is very simple, the excessive number of rebroadcasts increases the utilization of the resources that affects the performance and increases the energy consumption. In this paper, we adopt the probabilistic-based broadcasting mechanism in the context of WNSNs. Simulations have been conducted using Nanosim and results show that probabilistic-based flooding mechanism reduces redundant retransmissions while maintaining good performance.

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  • (2024)Energy Efficient Bandwidth Allocation and Routing in Electromagnetic Nano-Networks via Reinforcement Learning2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM62286.2024.10658288(1-8)Online publication date: 23-Jul-2024
  • (2023)An Adaptive Distributed Broadcast Protocol for Wireless Nanosensor NetworksInternational Journal of Wireless Information Networks10.1007/s10776-023-00609-731:1(37-50)Online publication date: 22-Nov-2023
  • (2022)Machine Learning Models for Traffic Classification in Electromagnetic Nano-NetworksIEEE Access10.1109/ACCESS.2022.316501310(38089-38103)Online publication date: 2022
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cover image ACM Other conferences
MoMM2017: Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia
December 2017
246 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Johannes Kepler University, Linz, Austria
  • @WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2017

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Author Tags

  1. Broadcasting
  2. Nanonetworks
  3. Probabilistic-based scheme
  4. Simulations and performance evaluation

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View all
  • (2024)Energy Efficient Bandwidth Allocation and Routing in Electromagnetic Nano-Networks via Reinforcement Learning2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM62286.2024.10658288(1-8)Online publication date: 23-Jul-2024
  • (2023)An Adaptive Distributed Broadcast Protocol for Wireless Nanosensor NetworksInternational Journal of Wireless Information Networks10.1007/s10776-023-00609-731:1(37-50)Online publication date: 22-Nov-2023
  • (2022)Machine Learning Models for Traffic Classification in Electromagnetic Nano-NetworksIEEE Access10.1109/ACCESS.2022.316501310(38089-38103)Online publication date: 2022
  • (2022)Extending lifetime of Wireless Nano-Sensor Networks: An energy efficient distributed routing algorithm for Internet of Nano-ThingsFuture Generation Computer Systems10.1016/j.future.2022.05.009135(382-393)Online publication date: Oct-2022
  • (2021)Electromagnetic-Based Wireless Nano-Sensors Network: Architectures and ApplicationsJournal of Communications10.12720/jcm.16.1.8-19(8-19)Online publication date: 2021
  • (2020)Routing Protocols for Wireless Nanosensor Networks and Internet of Nano Things: A Comprehensive SurveyIEEE Access10.1109/ACCESS.2020.3035646(1-1)Online publication date: 2020
  • (2019)Data Communication in Electromagnetic Nano-networks for Healthcare ApplicationsMobile, Secure, and Programmable Networking10.1007/978-3-030-22885-9_13(140-152)Online publication date: 21-Jun-2019

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