research paper topics on wireless network

Intelligent Wireless Networks: Challenges and Future Research Topics

• Published: 21 October 2021
• Volume 30 , article number  18 , ( 2022 )

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• Murad Abusubaih   ORCID: orcid.org/0000-0002-6948-1311 1  

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Recently, artificial intelligence (AI) has become a primary tool of serving science and humanity in all fields. This is due to the significant development in computing. The use of AI and machine learning (ML) has extended to wireless networks that are constantly evolving. This enables better operation and management of networks, through algorithms that learn and utilize available data and measurements to optimize network performance. This article provides a detailed review on cognitive, self-organized, and Software-defined networks. We discuss ML concepts and put emphasis on how ML can contribute to the development of optimal management solutions of wireless networks. A focus is put on discussion and analysis of recent research trends and challenges that remain open and require further research and exploration.

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Abusubaih, M. Intelligent Wireless Networks: Challenges and Future Research Topics. J Netw Syst Manage 30 , 18 (2022). https://doi.org/10.1007/s10922-021-09625-5

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Received : 07 July 2020

Revised : 18 May 2021

Accepted : 22 August 2021

Published : 21 October 2021

DOI : https://doi.org/10.1007/s10922-021-09625-5

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• wireless network research topics

Wireless network is referred to as a computer network, which is an intriguing as well as rapidly evolving domain. Relevant to wireless networks, we suggest numerous research topics that could be appropriate for your thesis or project work:

• 5G and Beyond:
• Topic: Performance Optimization in 5G Networks
• Explanation: Consider various metrics like energy effectiveness, throughput, and latency to improve the performance of 5G networks through exploring methods.
• Major Areas: Edge computing, network slicing, beamforming, and massive MIMO.
• Topic: Integration of 5G and IoT for Smart Cities
• Explanation: To create smart city applications, in what way 5G mechanism can be combined with IoT has to be analyzed.
• Major Areas: Ecological tracking, traffic handling, and smart architecture.
• 6G Networks:
• Topic: Exploring Terahertz Communication for 6G Networks
• Explanation: In utilizing terahertz frequencies for ultra-high-speed wireless interaction, examine the problems and effectiveness.
• Major Areas: Modulation approaches, hardware development, and propagation features.
• Topic: Intelligent Reflecting Surfaces (IRS) for 6G
• Explanation: To improve network coverage and signal propagation in 6G, the application of IRS must be explored.
• Major Areas: IRS model, enhancement, and application.
• Cognitive Radio Networks:
• Topic: Dynamic Spectrum Access in Cognitive Radio Networks
• Explanation: For dynamic spectrum access and effective spectrum sensing, create and assess methods.
• Major Areas: Interference handling, spectrum prediction with machine learning, and spectrum sensing approaches.
• Vehicular Ad-Hoc Networks (VANETs):
• Topic: Secure Communication Protocols for Autonomous Vehicles
• Explanation: Among self-driving vehicles, assure credible and safer interaction by modeling protocols.
• Major Areas: Authentication, encryption, and V2I (vehicle-to-infrastructure) and V2V (vehicle-to-vehicle) interaction.
• Topic: Enhancing Safety Applications in VANETs
• Explanation: Aim to create efficient applications, which enhance traffic handling and road safety through the use of VANETs.
• Major Areas: Actual-time traffic monitoring and collision avoidance systems.
• Internet of Things (IoT):
• Topic: Energy-Efficient Protocols for IoT Networks
• Explanation: In order to extend the battery durability of IoT devices, create protocols that are capable of reducing power usage in these devices.
• Major Areas: Sleep scheduling, data aggregation approaches, and MAC layer protocols.
• Topic: Security Solutions for IoT Networks
• Explanation: Appropriate for resource-limited IoT devices, the lightweight security techniques have to be created.
• Major Areas: Intrusion detection systems, authentication, and encryption.
• Mobile Edge Computing (MEC):
• Topic: Enhancing Mobile Application Performance with Edge Computing
• Explanation: To enhance the performance of mobile applications and minimize latency, employ edge computing.
• Major Areas: Actual-time data processing, resource allocation, and task offloading.
• Wireless Sensor Networks (WSNs):
• Topic: Robust Data Aggregation Techniques in WSNs
• Explanation: In spite of node faults, assure credible data aggregation in sensor networks by creating approaches.
• Major Areas: Data morality, energy effectiveness, and fault tolerance.
• Topic: Security Mechanisms for WSNs
• Explanation: As a means to secure data sharing in WSNs against different hazards, apply security protocols.
• Major Areas: Secure routing, key handling, and encryption.
• Software-Defined Networking (SDN):
• Topic: SDN-Based Network Management for Wireless Networks
• Explanation: To enhance and handle the wireless networks performance, utilize SDN.
• Major Areas: Traffic engineering, network virtualization, and dynamic resource allocation.
• Topic: Enhancing Security in SDN-Enabled Wireless Networks
• Explanation: In order to secure SDN-related wireless networks against assaults, create security techniques.
• Major Areas: Access control, secure interaction, and intrusion detection.
• Machine Learning in Wireless Networks:
• Topic: AI-Driven Network Management and Optimization
• Explanation: To handle resources and improve network performance in an effective manner, implement the methods of machine learning.
• Major Areas: Dynamic resource handling, anomaly identification, and traffic forecasting.
• Topic: Machine Learning for Anomaly Detection in Wireless Networks
• Explanation: In wireless networks, identify and react to possible safety hazards and abnormalities by creating machine learning frameworks.
• Major Areas: Actual-time anomaly identification, and supervised and unsupervised learning.
• Visible Light Communication (VLC):
• Topic: High-Speed Data Transmission Using VLC
• Explanation: Specifically for extensive-speed data sharing in indoor platforms, create VLC systems.
• Major Areas: Interference reduction, system design, and modulation approaches.
• Blockchain for Wireless Networks:
• Topic: Blockchain-Based Security Framework for IoT Networks
• Explanation: Improve confidentiality and safety in IoT networks through the utilization of blockchain mechanisms.
• Major Areas: Smart contracts, data morality, and decentralized authentication.
• Energy Harvesting and Green Communication:
• Topic: Sustainable Energy Solutions for Wireless Sensor Networks
• Explanation: To expand the durability of wireless sensor networks, investigate energy harvesting approaches.
• Major Areas: Piezoelectric, RF, and solar energy harvesting techniques.
• Quantum Communication:
• Topic: Quantum Key Distribution for Secure Wireless Communication
• Explanation: In wireless interaction systems, improve security by applying QKD protocols.
• Major Areas: Secure key handling, photon loss management, and error rectification.

What are some examples of simulation tools for wireless network projects?

There are several simulation tools useful for wireless network projects. In terms of project requirements, a suitable simulation tool has to be selected. Appropriate for wireless network projects, we list out a few instances of simulation tools which are utilized extensively:

• NS-3 (Network Simulator 3)
• Outline: NS-3 is majorly employed for academic and research objectives. It is referred to as an open-source discrete-event network simulator.
• Characteristics: It enables the simulation of IoT and 5G networks, offers models for wired and wireless networks, and facilitates enormous network protocols.
• Application Areas: This simulator is more suitable for protocol creation, performance analysis, and simulation of extensive network topologies.
• Outline: OMNeT++ is considered as a flexible, component-related C++ simulation framework and library.
• Characteristics: It encompasses architectures such as INET for internet simulations, enables different network protocols, and is more adaptable.
• Application Areas: Highly ideal for network performance assessment, traffic designing, and simulation of communication networks.
• Outline: For modeling, simulating, and examining interaction networks, QualNet offers an extensive platform. It is generally a commercial network simulation software.
• Characteristics: It supports a broad range of protocol libraries, visualization tools, and actual-time network simulation.
• Application Areas: High-fidelity simulations of wireless networks are supported by QualNet. These networks include sensor networks and mobile ad-hoc networks (MANETs).
• MATLAB and Simulink
• Outline: It is examined as a graphical simulation tool and high-level programming platform.
• Characteristics: For wireless communication, system designing, and signal processing, it offers a wide range of toolboxes.
• Application Areas: More suitable for examining network performance, creating and assessing methods, and simulation of communication systems.
• OPNET (now phase of Riverbed Modeler)
• Outline: OPNET is primarily utilized for designing, enhancing, and engineering networks. It is considered as a network designing and simulation tool.
• Characteristics: It enables performance analysis tools, extensive protocols, and in-depth designing of network devices.
• Application Areas: This tool is highly appropriate for the simulation of complicated communication systems, wireless LANs, and enterprise networks.
• GNS3 (Graphical Network Simulator 3)
• Outline: GNS3 is an efficient network software emulator. To simulate complicated networks, it enables the integration of actual and virtual devices.
• Characteristics: This emulator facilitates combination with actual network hardware and enables extensive network software and hardware.
• Application Areas: It is majorly suitable for protocol creation, network modeling, setup, and assessment.
• Riverbed Modeler (formerly OPNET)
• Outline: For performance analysis, network planning, and structure, Riverbed Modeler is very helpful. It is a robust network simulation and designing tool.
• Characteristics: This tool supports in-depth simulation of network protocols, performance enhancement, and traffic analysis.
• Application Areas: Simulation of complicated wireless networks is enabled by Riverbed modeler. It encompasses IoT networks, MANETs, and cellular networks.
• Outline: NetSim is specifically a network simulation tool, appropriate for the simulation of wireless and wired networks, and designing of protocol.
• Characteristics: It involves an excellent graphical interface, offers in-depth performance metrics, and enables different network protocols.
• Application Areas: This tool is more appropriate for network protocol creation, research projects, and academic objectives.
• Cooja (Contiki OS Simulator)
• Outline: Cooja is a phase of the Contiki OS ecosystem. It is generally a network simulator modeled for sensor and IoT networks.
• Characteristics: It offers elaborate visualization, enables low-power interaction protocols, and simulates different hardware environments.
• Application Areas: This simulator is highly ideal for energy usage analysis, protocol creation, and simulations of wireless sensor network and IoT.
• TinyOS and TOSSIM
• Outline: TinyOS is more useful for low-power wireless devices. It is a freely accessible operating system. TOSSIM is specified as the simulator of TinyOS.
• Characteristics: It enables different interaction protocols, offers in-depth logging, and simulates extensive wireless sensor networks.
• Application Areas: To create and assess protocols for IoT devices and wireless sensor networks, it is highly suitable.
• Outline: Castalia is an effective simulator relevant to the OMNeT++ environment. It is majorly useful for body area networks and wireless sensor networks.
• Characteristics: This simulator facilitates different network and MAC layer protocols, and designs practical wireless channel and radio activity.
• Application Areas: It is more appropriate for application creation, performance assessment, and exploring sensor network protocols.
• Outline: EstiNet enables wireless as well as wired networks. It is specifically a network emulation and simulation tool.
• Characteristics: It supports combination with network hardware, provides in-depth protocol designs, and allows actual-time simulation.
• Application Areas: This tool is suitable for network model, performance analysis, and simulation and emulation of network protocols.

Wireless Network Research Ideas

Generating research ideas for a wireless network independently is a challenging endeavor. However, our team of experts possesses extensive practical experience of over 17+ years in this field. When approached by a scholar, we request them to provide us with all the essential information regarding their ideas, including base paper or reference paper details. Subsequently, we commence our work by thoroughly examining all aspects of the proposed research.

• Empowering full-duplex wireless communication by exploiting directional diversity
• On the distribution of the sum of gamma-gamma variates and applications in RF and optical wireless communications
• Hybrid PLC/wireless communication for smart grids and internet of things applications
• Qualitative theory of dynamical systems, chaos and contemporary wireless communications
• Performance bounds of multihop wireless communications with blind relays over generalized fading channels
• Channel equalization in filter bank based multicarrier modulation for wireless communications
• Sensitive and nonlinear far-field RF energy harvesting in wireless communications
• Research and development of microwave dielectric ceramics for wireless communications
• An easy to deploy street light control system based on wireless communication and LED technology
• A network information theory for wireless communication: Scaling laws and optimal operation
• Statistics of the sum of lognormal variables in wireless communications
• A new compact filter-antenna for modern wireless communication systems
• Overview of channel models for underwater wireless communication networks
• Synthesis of an electromagnetic wave absorber for high-speed wireless communication
• On the design of a solar-panel receiver for optical wireless communications with simultaneous energy harvesting
• Graphene-enabled wireless communication for massive multicore architectures
• Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths
• A robust voice activity detector for wireless communications using soft computing
• Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels
• Integrated energy and spectrum harvesting for 5G wireless communications

Research on Wireless Network and Its Technology

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