JAIT 2023 Vol.14(5): 1117-1123
doi: 10.12720/jait.14.5.1117-1123

Performance Analysis of ERS Techniques for Next-Generation Opportunistic Networks

Nguyen Minh Quy1 , Abdellah Chehri2 , Pham Duc Khai3 , Dao Manh Linh1 , Dang Van Anh1,*

  • 1Faculty of Information Technology, Hung Yen University of Technology and Education, Hungyen 160000, Vietnam
  • 2Department of Mathematics & Computer Science, Royal Military College of Canada, Kingston, ON K7K 7B4, Canada
  • 312A3, Nguyen Sieu High School, Yen Hoa, Cau Giay, Hanoi 100000, Vietnam

* Corresponding author

  • Manuscript receivedJuly 15, 2023
  • revisedAugust 4, 2023
  • acceptedAugust 29, 2023
  • publishedOctober 20, 2023

Abstract

In next-generation networks, mobile devices are equipped with Machine-to-Machine (M2M) communication modules that allow them to interact, self-configure, and communicate with other mobile devices without relying on pre-installed fixed network infrastructure (the so-called opportunistic networks). The combination of opportunistic networks and Internet infrastructure creates unprecedented new capabilities and applications. However, this hybrid architecture also faces challenges, including performance, energy savings, delay, and security. Typical opportunistic network architecture is Mobile Ad hoc Networks (MANETs) and Flying Ad Hoc Networks (FANET). MANETs are a collection of mobile devices equipped with D2D modules to communicate directly with each other mobile nodes without relying on base stations or access point infrastructure. Flying Ad Hoc Networks (FANET), or Drones, are gaining popularity due to their cost-effectiveness, efficiency, and advanced capabilities. Due to the mobility nature of mobile nodes in opportunistic networks, the source nodes use the route discovery procedure to determine an optimal route to the destination node. Several improved ERS techniques have been proposed to enhance performance and reduce the power consumption of opportunistic networks. In this paper, we conduct a detailed analysis of the proposed varying of Expanding Ring Search (ERS) algorithms and consider the performance of these techniques. Experimental results show that the Enhanced BERS technique (EBERS) algorithm significantly improves the energy consumption compared to ERS-based algorithms in large network scales. Finally, we provide some recommendations to selecting suitable ERS techniques with different network scales.

Keywords

  • Opportunistic Networks (ONs)
  • 5G
  • Flying Ad Hoc Networks (FANET)
  • Mobile Ad hoc Networks (MANETs)
  • expanding ring search
JAIT-V14N5-1117

How to Cite

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Nguyen Minh Quy, Abdellah Chehri, Pham Duc Khai, Dao Manh Linh, and Dang Van Anh, "Performance Analysis of ERS Techniques for Next-Generation Opportunistic Networks," Journal of Advances in Information Technology, vol. 14, no. 5, pp. 1117-1123, 2023. https://doi.org/10.12720/jait.14.5.1117-1123

Copyright & License

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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