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Performance Analysis in Wireless Communication with RIS

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1435

Special Issue Editors


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Guest Editor
ComSP Lab, Telecommunication Research Institute (TELMA), Universidad de Malaga, 29010 Malaga, Spain
Interests: wireless communications performance analysis; multipath fading; wireless channel modeling; diversity systems; smart antennas; MIMO performance and interference management

E-Mail Website
Guest Editor
ComSP Lab, Telecommunication Research Institute (TELMA), Universidad de Malaga, 29010 Malaga, Spain
Interests: MIMO system; 5G cellular communication; millimeter wave

Special Issue Information

Dear Colleagues,

Reconfigurable intelligent surfaces (RISs) have drawn significant attention due to their capability to tailor electromagnetic waves across a wide frequency range, from microwaves to visible light. RIS technology has several promising future applications in wireless networks and has attracted growing interest due to its advantages.

This Special Issue aims to collect innovative contributions concerning RISs’ various applications in wireless communications and networks. Topics of interest include, but are not limited to:

  • Wireless communications
  • Wireless networks
  • Performance analysis
  • Intelligent reflecting surfaces
  • Digital communication systems.

Prof. Dr. Juan Manuel Romero Jerez
Dr. Maryam Olyaee
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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 (1 paper)

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Research

19 pages, 1936 KiB  
Article
SWARAM: Osprey Optimization Algorithm-Based Energy-Efficient Cluster Head Selection for Wireless Sensor Network-Based Internet of Things
by Ramasubbareddy Somula, Yongyun Cho and Bhabendu Kumar Mohanta
Sensors 2024, 24(2), 521; https://doi.org/10.3390/s24020521 - 14 Jan 2024
Viewed by 991
Abstract
The Internet of Things (IoT) has transformed various aspects of human life nowadays. In the IoT transformative paradigm, sensor nodes are enabled to connect multiple physical devices and systems over the network to collect data from remote places, namely, precision agriculture, wildlife conservation, [...] Read more.
The Internet of Things (IoT) has transformed various aspects of human life nowadays. In the IoT transformative paradigm, sensor nodes are enabled to connect multiple physical devices and systems over the network to collect data from remote places, namely, precision agriculture, wildlife conservation, intelligent forestry, and so on. The battery life of sensor nodes is limited, affecting the network’s lifetime, and requires continuous maintenance. Energy conservation has become a severe problem of IoT. Clustering is essential in IoT to optimize energy efficiency and network longevity. In recent years, many clustering protocols have been proposed to improve network lifetime by conserving energy. However, the network experiences an energy-hole issue due to picking an inappropriate Cluster Head (CH). CH node is designated to manage and coordinate communication among nodes in a particular cluster. The redundant data transmission is avoided to conserve energy by collecting and aggregating from other nodes in clusters. CH plays a pivotal role in achieving efficient energy optimization and network performance. To address this problem, we have proposed an osprey optimization algorithm based on energy-efficient cluster head selection (SWARAM) in a wireless sensor network-based Internet of Things to pick the best CH in the cluster. The proposed SWARAM approach consists of two phases, namely, cluster formation and CH selection. The nodes are clustered using Euclidean distance before the CH node is selected using the SWARAM technique. Simulation of the proposed SWARAM algorithm is carried out in the MATLAB2019a tool. The performance of the SWARAM algorithm compared with existing EECHS-ARO, HSWO, and EECHIGWO CH selection algorithms. The suggested SWARAM improves packet delivery ratio and network lifetime by 10% and 10%, respectively. Consequently, the overall performance of the network is improved. Full article
(This article belongs to the Special Issue Performance Analysis in Wireless Communication with RIS)
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