Mobile Ad Hoc Networks (MANETs) in the Era of Cutting-Edge Technologies

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 August 2024 | Viewed by 677

Special Issue Editor

Prof. Dr. Abdelhafid Abouaissa
E-Mail Website
Guest Editor
IRIMAS, University of Haute Alsace, 68000 Colmar, France
Interests: ad hoc networks; resource management; data science; data processing and storage; blockchains

Special Issue Information

Dear Colleagues,

In the last two decades, the integration of smart sensing devices into mobile objects has led to a revolution in mobile ad hoc networks (MANETs). This has enabled the deployment of new services and applications that have made our lives smarter and safer. However, datasets collected by MANETs are characterized by their massive size, high speed generation and heterogeneous type, which require complicated processing techniques and substantial storage facilities. This underlines the importance of using cutting-edge technologies (mainly artificial intelligence (AI), data science, edge/fog, cloud, etc.) in MANETs. Using such technologies, the processing and analysis of mobile data can yield benefits to MANETs and optimize services and applications in places such as cities. Additionally, they ensure efficient architectures for storing and handling big data collected in MANETs.

This Special Issue presents the latest findings that highlight how cutting-edge technologies such as AI, machine/deep learning, edge and fog computing, and cloud computing can be used to push the current state of the art with respect to MANETs.

Prof. Dr. Abdelhafid Abouaissa
Guest Editor

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Keywords

  • MANET
  • cutting-edge technology
  • artificial intelligence
  • data science
  • data processing
  • storage architectures

Published Papers (1 paper)

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Research

17 pages, 799 KiB  
Article
Optimizing Coverage in Wireless Sensor Networks: A Binary Ant Colony Algorithm with Hill Climbing
Appl. Sci. 2024, 14(3), 960; https://doi.org/10.3390/app14030960 - 23 Jan 2024
Viewed by 463
Abstract
Wireless sensor networks (WSNs) play a vital role in various fields, but ensuring optimal coverage poses a significant challenge due to the limited energy resources that constrain sensor nodes. To address this issue, this paper presents a novel approach that combines the binary [...] Read more.
Wireless sensor networks (WSNs) play a vital role in various fields, but ensuring optimal coverage poses a significant challenge due to the limited energy resources that constrain sensor nodes. To address this issue, this paper presents a novel approach that combines the binary ant colony algorithm (BACA), a variant of ant colony optimization (ACO), with other search optimization algorithms, such as hill climbing (HC) and simulated annealing (SA). The BACA is employed to generate an initial solution by emulating the foraging behavior of ants and the pheromone trails they leave behind in their search for food. However, we acknowledge that the BACA alone may not guarantee the most optimal solution. Subsequently, HC and SA are optimization search algorithms that refine the initial solution obtained by the BACA to find a more enhanced solution. Through extensive simulations and experiments, we demonstrate that our proposed approach results in enhanced coverage and energy-efficient coverage in a two-dimensional (2D) field. Interestingly, our findings reveal that HC consistently outperforms SA, particularly in less complex search spaces, leveraging its robust exploitation approach. Our research contributes valuable insights into optimizing WSN coverage, highlighting the superiority of HC in this context. Finally, we outline promising future research directions that can advance the optimization of WSN coverage. Full article
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