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Future Internet
Special Issues
Multiobjective Optimization in Wireless Sensor Networks
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Multiobjective Optimization in Wireless Sensor Networks

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (19 September 2022) | Viewed by 2207

Special Issue Editor

Dr. Idelfonso B. R. Nogueira

E-Mail Website
Guest Editor
Department of Chemical Engineering, Norwegian University of Science and Technology, 7034 Trondheim, Norway
Interests: artificial intelligence; scientific machine learning; process system engineering; systems control & optimization; cyber-physical systems; digital twins
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Modern society is living a moment of paradigm changes. These changes have been instigated by new technologies such as high-performance computing, cloud computing, and internet of things. Nowadays, we are observing an almost immediate exchange of information worldwide, creating big data pipelines that enable the emergence of complex artificial intelligence systems. This digital revolution promotes the emergence of a complex system where conflicting goals need to be considered. This can be specially observed in wireless networks (WSNs), where there are several tradeoffs, such as energy consumption and coverage area. In this scenario, the multiobjective optimization (MOO) technique allows the determination of possible conditions portrayed in a set of known solutions. Therefore, developments in this optimization field might play an essential role in digital transformation.

Hence, this Special Issue aims to discuss advances in mathematical scalarization methods, heuristics/metaheuristics-based optimization algorithms, and other advanced optimization techniques to address WSNs problems. However, it seeks to provide a broader discussion in the optimization field. Thus, any work in a related optimization field is welcome. Furthermore, developments in the sensors field are welcome, including soft sensors.

Dr. Idelfonso B. R. Nogueira
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multiobjective optimization
  • wireless sensor networks
  • meta-heuristic algorithms
  • Pareto optimal solutions
  • artificial intelligence
  • cyber-physical systems
  • digital twins

Published Papers (1 paper)

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Research

17 pages, 3342 KiB  
Article
Enhancing the Lifetime and Energy Efficiency of Wireless Sensor Networks Using Aquila Optimizer Algorithm
by Ashraf A. Taha, Hagar O. Abouroumia, Shimaa A. Mohamed and Lamiaa A. Amar
Future Internet 2022, 14(12), 365; https://doi.org/10.3390/fi14120365 - 07 Dec 2022
Cited by 7 | Viewed by 1688
Abstract
As sensors are distributed among wireless sensor networks (WSNs), ensuring that the batteries and processing power last for a long time, to improve energy consumption and extend the lifetime of the WSN, is a significant challenge in the design of network clustering techniques. [...] Read more.
As sensors are distributed among wireless sensor networks (WSNs), ensuring that the batteries and processing power last for a long time, to improve energy consumption and extend the lifetime of the WSN, is a significant challenge in the design of network clustering techniques. The sensor nodes are divided in these techniques into clusters with different cluster heads (CHs). Recently, certain considerations such as less energy consumption and high reliability have become necessary for selecting the optimal CH nodes in clustering-based metaheuristic techniques. This paper introduces a novel enhancement algorithm using Aquila Optimizer (AO), which enhances the energy balancing in clusters across sensor nodes during network communications to extend the network lifetime and reduce power consumption. Lifetime and energy-efficiency clustering algorithms, namely the low-energy adaptive clustering hierarchy (LEACH) protocol as a traditional protocol, genetic algorithm (GA), Coyote Optimization Algorithm (COY), Aquila Optimizer (AO), and Harris Hawks Optimization (HHO), are evaluated in a wireless sensor network. The paper concludes that the proposed AO algorithm outperforms other algorithms in terms of alive nodes analysis and energy consumption. Full article
(This article belongs to the Special Issue Multiobjective Optimization in Wireless Sensor Networks)
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