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Applied Sciences
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Reliable Green Communications for Next Generation Networks
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Reliable Green Communications for Next Generation Networks

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (30 May 2023) | Viewed by 3207

Special Issue Editors

Dr. Kashif Naseer Qureshi

E-Mail Website
Guest Editor
Department of Electronic & Computer Engineering, University of Limerick, V94 T9PX Limerick, Ireland
Interests: wireless sensor networks (WSNs); routing; security; energy efficiency; Internet of Things (IoT); Internet of Everything (IoE)
Special Issues, Collections and Topics in MDPI journals
Dr. Thomas Newe

E-Mail Website
Guest Editor
Department of Electronic & Computer Engineering, University of Limerick, V94 T9PX Limerick, Ireland
Interests: wireless sensor metworks; ad hoc networks; information security; cyber security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is devoted to green communications for next-generation wireless communications networks. Smart and integrated wireless networks have received immense attention. In these networks, multiple smart devices are connected and capable of performing their operations; application fields include the Internet of Things (IoT), wireless sensor networks (WSNs), and the Internet of Everything (IoE). Due to large number of tiny devices, unpredictable network topologies, deployment in harsh environment, and limited nodes resources, the batteries of sensor nodes drain very quickly. Optimal energy is the main requirement of these networks for smooth operations and processes. Many different solutions have been proposed to address energy issue in these networks like energy harvesting for alternate energy source. However, due to fluctuation in harvested energy because of environmental conditions, energy optimization again needed for smooth processes. The concept of duty cycle is also not feasible due to sink node dynamic and heterogenous requirements. The fault tolerance routing, heuristic and approximation routing protocols are also utilized to solve the energy issues. Reliable green communication solutions are needed to ensure the maximum network life, low latency, load balancing, network overhead and high connectivity. Recently, green communication has become prevalent because it supports energy-efficient communications and minimizes the use of resources. The aim of this Special Issue is to contribute to the state-of-the-art and present current energy optimization solutions for WSN, IoT, and IoE networks. The Guest Editors invite papers related to the following topics, but the list is non-exhaustive:

  • Energy-efficient data communication in ad hoc networks;
  • Green routing for Internet of Things (IoT) networks;
  • Energy-efficient solutions and protocols for wireless sensor networks (WSNs);
  • Green sensors devices and platforms for sustainable networks;
  • Green communication architecture for next-generation networks;
  • Security and privacy for green communication technologies;
  • Green wireless and wired networking;
  • Energy-efficient scheduling and resource management;
  • Heuristic solutions for green communication;
  • Blockchain, green communication, and IoE;
  • Green communication for cyber–physical systems.

Dr. Kashif Naseer Qureshi
Dr. Thomas Newe
Guest Editors

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Published Papers (2 papers)

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22 pages, 2995 KiB  
Article
Hybrid HP-BOA: An Optimized Framework for Reliable Storage of Cloud Data Using Hybrid Meta-Heuristic Algorithm
by Adnan Tahir, Fei Chen, Bashir Hayat, Qaisar Shaheen, Zhong Ming, Arshad Ahmad, Ki-Il Kim and Byung Hyun Lim
Appl. Sci. 2023, 13(9), 5346; https://doi.org/10.3390/app13095346 - 25 Apr 2023
Cited by 3 | Viewed by 1273
Abstract
The prime objective of the cloud data storage process is to make the service, irrespective of being infinitely extensible, a more reliable storage and low-cost model that also encourages different data storage types. Owing to the storage process, it must satisfy the cloud [...] Read more.
The prime objective of the cloud data storage process is to make the service, irrespective of being infinitely extensible, a more reliable storage and low-cost model that also encourages different data storage types. Owing to the storage process, it must satisfy the cloud users’ prerequisites. Nevertheless, storing massive amounts of data becomes critical as this affectsthe data quality or integrity. Hence, this poses various challenges for existing methodologies. An efficient, reliable cloud storage model is proposed using a hybrid heuristic approach to overcome the challenges. The prime intention of the proposed system is to store the data effectively in the cloud environment by resolving two constraints, which are general and specific (structural). The cloud data were initially gathered and used to analyze the storage performance. Since the data were extensive, different datasets and storage devices were considered. Every piece of data was specified by its corresponding features, whereas the devices were characterized by the hardware or software components. Subsequently, the objective function was formulated using the network’s structural and general constraints. The structural constraints were determined by the interactions between the devices and data instances in the cloud. Then, the general constraints regarding the data allocation rules and device capacity were defined. To mitigate the constraints, the components were optimized using the Hybrid Pelican–Billiards Optimization Algorithm (HP-BOA) to store the cloud data. Finally, the performance was validated, and the results were analyzed and compared against existing approaches. Thus, the proposed model exhibited the desired results for storing cloud data appropriately. Full article
(This article belongs to the Special Issue Reliable Green Communications for Next Generation Networks)
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17 pages, 3568 KiB  
Article
Decision-Based Routing for Unmanned Aerial Vehicles and Internet of Things Networks
by Maisam Ali, Kashif Naseer Qureshi, Thomas Newe, Kashif Aman, Ashraf Osman Ibrahim, Maha Almujaly and Wamda Nagmeldin
Appl. Sci. 2023, 13(4), 2131; https://doi.org/10.3390/app13042131 - 07 Feb 2023
Cited by 3 | Viewed by 1377
Abstract
New technologies and communication standards have changed traditional network processes. Internet of Things (IoT) is one of the emerging technologies where devices are connected to facilitate the users. When the networks are more congested due to a large number of users then the [...] Read more.
New technologies and communication standards have changed traditional network processes. Internet of Things (IoT) is one of the emerging technologies where devices are connected to facilitate the users. When the networks are more congested due to a large number of users then the existing routing protocol and communication channels suffer from congestion, disconnection, overhead, and packet drop issues. Unmanned Aerial Vehicles (UAVs) are adopted to support the ground networks for more feasible data communication. These networks provide coverage facilities to IoT networks and provide smooth data dissemination services. Through the use of relay and cooperative communication technologies, UAVs could enlarge the communication space for IoT networks. Traditional network routing protocols have been adopted for data communication in these networks. However, the adopted protocols are not able to handle mobility and uncertain network conditions. This paper proposes a Decision-based Routing for Unmanned Aerial Vehicles and Internet of Things (DR-UAVIoT) network. The proposed protocol is useful for UAV-to-IoT and UAV-to-UAV data communication. The performance of the proposed solution is evaluated with the existing protocols in terms of data delivery, delay, and network overhead. The experimental results indicate the better performance of the proposed protocol in terms of less delay, less overhead, and better data delivery ratio as compared with existing routing protocols. Full article
(This article belongs to the Special Issue Reliable Green Communications for Next Generation Networks)
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