Fuzzy Logic Handover Scheme for Seamless Mobility in Wireless Networks

Problem Definition

Problem Description: The increasing demand for seamless connectivity and high-quality services in mobile communication systems has led to the need for efficient handover schemes that can adapt to varying user behaviors and network conditions. In the current scenario, users expect to stay connected to the network even while on the move, which poses challenges such as varying propagation conditions and interference levels. Traditional handover schemes may not be able to effectively handle these dynamic conditions, leading to disruptions in connectivity and degradation in the quality of service. Therefore, there is a need to develop a more sophisticated handover scheme that can make decisions based on user behavior and network parameters in real-time. The existing handover decision-making processes may not be able to consider all the factors that impact user connectivity and handover performance.

Therefore, a new approach that integrates fuzzy logic and advanced decision modeling techniques is required to optimize handover decisions based on a comprehensive set of parameters. By developing a user behavior-based handover scheme using fuzzy logic and advanced decision modeling, this project aims to address the challenges associated with seamless mobility in wireless networks. This approach will consider factors such as user location, speed, network conditions, and interference levels to make intelligent handover decisions that enhance user experience and ensure continuous connectivity.

Proposed Work

The proposed work titled "User behaviour based Handover scheme using fuzzy logics and advanced decision modelling" focuses on addressing the challenges in providing seamless mobility in wireless networks. The research utilizes a fuzzy logic controller, considering handover decision factors that impact user connectivity during mobility. By analyzing performance parameters and conducting a comparison analysis, the study demonstrates the effectiveness of the proposed approach in making handover decisions. This research falls under the categories of Latest Projects, M.Tech | PhD Thesis Research Work, MATLAB Based Projects, Optimization & Soft Computing Techniques, and Wireless Research Based Projects.

The modules used include Basic Matlab and Fuzzy Logics, while the subcategories encompass Fuzzy Logics, Latest Projects, MATLAB Projects Software, Handover Controller design, and WSN Based Projects. Through this work, the aim is to enhance the quality of service in mobile communications by optimizing handover processes using advanced decision modelling techniques.

Application Area for Industry

This project can be applied across various industrial sectors that rely on mobile communication systems, such as telecommunications, transportation, healthcare, and logistics. In the telecommunications sector, the proposed user behavior-based handover scheme can improve network connectivity and service quality for mobile users, leading to enhanced customer satisfaction and retention. In the transportation industry, where connectivity is crucial for tracking vehicles and ensuring safety, this project's solutions can help maintain seamless communication during travel. In healthcare, the ability to provide uninterrupted mobile connectivity can be vital for accessing patient data and communicating with medical professionals in real-time. Similarly, in logistics, reliable mobile communication is essential for tracking shipments, coordinating deliveries, and maintaining operational efficiency.

By implementing the advanced decision modeling techniques and fuzzy logic-based handover scheme proposed in this project, industries can overcome challenges like varying propagation conditions and interference levels that often disrupt connectivity. The benefits of these solutions include improved user experience, enhanced network reliability, increased productivity, and optimized resource utilization. Ultimately, the integration of these intelligent handover decisions can lead to a significant enhancement in service quality and operational efficiency across different industrial domains, contributing to overall business growth and competitiveness.

Application Area for Academics

This proposed project on "User behavior-based Handover scheme using fuzzy logics and advanced decision modeling" holds significant relevance for MTech and PhD students conducting research in the field of wireless communication systems. The project offers an innovative approach to addressing the challenges of seamless mobility by integrating fuzzy logic and advanced decision modeling techniques to optimize handover decisions in real-time. MTech and PhD scholars can utilize the code and literature of this project for conducting simulations, data analysis, and innovative research methods for their dissertations, theses, or research papers. This project covers technologies such as MATLAB, optimization, soft computing techniques, and wireless communication systems, providing a comprehensive platform for exploring new research avenues. By focusing on user behavior, network parameters, and intelligent decision-making processes, students can delve into advanced research methods to enhance user experience and network performance.

The future scope of this project includes potential applications in network optimization, handover algorithms, and intelligent network management systems. Overall, this project serves as a valuable resource for researchers and students looking to explore cutting-edge technologies in the field of wireless communication systems.

Keywords

Handover scheme, user behavior, fuzzy logic, advanced decision modeling, seamless connectivity, high-quality services, mobile communication systems, varying user behaviors, network conditions, disruptions in connectivity, quality of service, decision-making processes, user connectivity, handover performance, fuzzy logic controller, wireless networks, performance parameters, comparison analysis, Latest Projects, M.Tech, PhD Thesis Research Work, MATLAB Based Projects, Optimization, Soft Computing Techniques, Basic Matlab, Handover Controller design, WSN Based Projects, quality of service, mobile communications, advanced decision modelling techniques.