Vertical Handover Projects examples using omnet++

Vertical handover is also known as vertical handoff that states to the process of switching among various kinds of networks like from Wi-Fi to 4G, or from 4G to 5G while maintaining an active session. It is a critical aspect of heterogeneous wireless networks, where devices can move among numerous network kinds with changing characteristics. Explore examples of Vertical Handover Projects that we are currently developing using the OMNeT++ tool.

Given below are several vertical handover project instances that can be implemented using OMNeT++:

1. Simulation of Vertical Handover between Wi-Fi and 4G/5G Networks

• Objective: Feign a vertical handover process among Wi-Fi and 4G/5G networks to estimate the performance and quality of service (QoS) during the handover.
• Implementation: Make a network with nodes capable of connecting to both Wi-Fi and 4G/5G networks. Execute a handover algorithm that activates a switch based on measures like signal strength, network load, or user preferences.
• Extension: Calculate the impact of handover on QoS metrics like throughput, latency, and packet loss. Mimic various mobility scenarios such as walking, driving and evaluate how the handover algorithm adjusts to these conditions.

2. Optimized Vertical Handover Decision Algorithms

• Objective: Advance and mimic optimized decision algorithms for vertical handover to reduce disruption and enhance network resource usage.
• Implementation: Execute numerous handover decision algorithms, like RSS-based (Received Signal Strength), QoS-based, or cost-function-based algorithms. Feign a heterogeneous network environment where devices switch among different network kinds such as Wi-Fi, LTE, 5G.
• Extension: Liken the performance of these algorithms in terms of handover latency, network load, and user experience. Feign scenarios with changing network conditions and user mobility patterns to measure the robustness of each algorithm.

3. Vertical Handover for Energy Efficiency in Mobile Devices

• Objective: Feign vertical handover strategies aimed at decreasing energy consumption in mobile devices without compromising QoS.
• Implementation: Create a network where mobile nodes switch among several networks like Wi-Fi, LTE, 5G based on energy efficiency norms. Execute energy-aware handover algorithms that examine both signal quality and energy consumption when deciding to switch networks.
• Extension: Estimate the impact of various handover strategies on the battery life of mobile devices. Feign scenarios with changing network availability and signal conditions to evaluate trade-offs among energy efficiency and QoS.

4. Vertical Handover in IoT Networks

• Objective: Mimic vertical handover in an Internet of Things (IoT) network, where IoT devices switch among various networks like LPWAN, Wi-Fi, LTE based on coverage, energy efficiency, and data requirements.
• Implementation: Generate an IoT network with heterogeneous connectivity options. Perform a handover mechanism that permits IoT devices to switch among networks based on factors like signal quality, energy availability, and data transmission needs.
• Extension: Feign several IoT scenarios, such as smart cities or industrial IoT, and estimate the effectiveness of the handover mechanism in maintaining connectivity, optimizing energy usage, and make sure data integrity.

5. Quality of Service (QoS) Assurance during Vertical Handover

• Objective: Mimic and estimate the efficiency of QoS assurance mechanisms during vertical handover in a heterogeneous wireless network.
• Implementation: Make a network where nodes can switch among numerous networks such as Wi-Fi, 4G, 5G based on QoS requirements. Perform mechanisms to maintain QoS during handover, like buffering, priority scheduling, or adaptive bitrate streaming.
• Extension: Evaluate the impact of vertical handover on numerous kinds of traffic such as VoIP, video streaming, file transfer and calculate the effectiveness of QoS mechanisms in reducing disruptions. Mimic scenarios with changing network loads and mobility patterns.

6. Security Challenges in Vertical Handover

• Objective: Feign and address security challenges related with vertical handover in heterogeneous networks, like authentication, data integrity, and privacy.
• Implementation: Execute a network where nodes switch among numerous kinds of networks whereas maintaining secure communication. Address security challenges like re-authentication delays, secure key exchange, and protection versus man-in-the-middle (MitM) attacks during the handover process.
• Extension: Mimic attacks targeting the handover process and estimate the efficiency of the executed security measures. Examine the trade-offs among security and performance like increased latency due to re-authentication.

7. Load Balancing Through Vertical Handover

• Objective: Feign vertical handover as a mechanism for load balancing across various networks to avoid congestion and optimize network resource utilization.
• Implementation: Create a network where devices can connect to several networks such as Wi-Fi, LTE, 5G. Perform a load balancing algorithm that activates handover to less congested networks to allocate traffic evenly.
• Extension: Estimate the effectiveness of the load balancing algorithm in avoiding network congestion, improving throughput, and reducing latency. Simulate scenarios with high user density and changing traffic patterns to investigate how the system modifies.

8. Vertical Handover in Vehicular Networks (VANETs)

• Objective: Mimic vertical handover in Vehicular Ad Hoc Networks (VANETs) to make sure seamless connectivity for vehicles moving among various networks such as LTE, 5G, and DSRC.
• Implementation: Generate a VANET where vehicles can switch among various networks based on mobility, signal strength, and network availability. Execute a handover mechanism that minimizes latency and packet loss in the transition.
• Extension: Feign several driving situations like urban, highway and explore the act of the handover mechanism in maintaining reliable communication for safety-critical applications such as collision avoidance and real-time traffic updates.

9. Context-Aware Vertical Handover

• Objective: Emulate a context-aware vertical handover mechanism that reflects the user’s context like location, application type, battery level when deciding to switch networks.
• Implementation: Form a network where nodes can access context information such as GPS data, application requirements and use it to create intelligent handover decisions. Execute algorithms that modify to the user’s present context to enhance the handover process.
• Extension: Calculate the influence of context-aware handover on user experience, network performance, and energy consumption. Feign scenarios with dynamic context changes such as entering a building, starting a video call and examine how the system changes.

10. Handoff Latency Reduction in Vertical Handover

• Objective: Mimic methods for decreasing handoff latency during vertical handover to make sure minimal disruption in real-time applications.
• Implementation: Perform several handoff methods, like pre-authentication, make-before-break, and predictive handover, in a network where devices move among numerous network kinds.
• Extension: Estimate the effectiveness of these methods in decreasing handoff latency and maintaining seamless communication for applications such as VoIP and video streaming. Liken the trade-offs among latency reduction and complexity.

11. Multi-Criteria Decision Making (MCDM) for Vertical Handover

• Objective: Feign a vertical handover decision-making process based on Multi-Criteria Decision Making (MCDM) methods, evaluation numerous factors like QoS, cost, energy consumption, and user preferences.
• Implementation: Create a network where devices assess numerous conditions before deciding to hand over to a various network. Execute MCDM algorithms such as TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) or AHP (Analytic Hierarchy Process) for creating handover decisions.
• Extension: Evaluate the impact of various criteria weights on the handover decision and network performance. Feign scenarios with varying user preferences and network conditions to calculate the robustness of the MCDM method.

12. Seamless Vertical Handover for 5G Networks

• Objective: Mimic seamless vertical handover in 5G networks, make sure uninterrupted connectivity for high-mobility users switching among numerous access technologies.
• Implementation: Make a 5G network environment with several access technologies such as mmWave, sub-6 GHz, Wi-Fi. Perform seamless handover mechanisms like Dual Connectivity (DC) or Multi-Access Edge Computing (MEC) to enable uninterrupted service.
• Extension: Measure the performance of the seamless handover mechanism in terms of latency, throughput, and reliability. Feign high-mobility scenarios, like users in vehicles or trains, and examine the system’s ability to maintain connectivity.

13. User-Centric Vertical Handover Simulation

• Objective: Mimic a user-centric vertical handover method that prioritizes user experience by in view of factors like user preferences, service type, and device capabilities.
• Implementation: Execute a handover mechanism that permits users to set preferences for various networks such as cost vs. speed and dynamically modifies to optimize their experience. The system would also study the kind of service like streaming, browsing when making handover decisions.
• Extension: Estimate the impact of user-centric handover on complete user satisfaction, network performance, and resource utilization. Mimic numerous user profiles and preferences to evaluate how the system changes to diverse needs.

14. Simulation of Vertical Handover in Heterogeneous Networks

• Objective: Feign vertical handover in a heterogeneous network environment with several overlapping networks like Wi-Fi, LTE, 5G to learn the challenges and performance implications.
• Implementation: Generate a heterogeneous network with numerous overlapping coverage areas. Execute handover algorithms that permit devices to switch among networks based on dynamic criteria like signal quality, bandwidth availability, and network load.
• Extension: Investigate the performance of the network under numerous load conditions, mobility patterns, and handover frequencies. Assess the impact of network heterogeneity on handover success rates, QoS, and user experience.

15. Vertical Handover with Adaptive Bitrate Streaming

• Objective: Feign vertical handover for adaptive bitrate streaming applications such as video streaming) to conserve optimal video quality during network transitions.
• Implementation: Form a network where nodes switch among various networks whereas streaming video content. Execute adaptive bitrate algorithms that modifies video quality in real-time based on network conditions and handover events.
• Extension: Assess the impact of vertical handover on video quality, buffering, and user experience. Simulate different network conditions such as changing bandwidth, latency and consider the effectiveness of adaptive bitrate streaming in maintaining a smooth watching experience.

We had provided numerous instances to execute the Vertical Handover Projects within OMNeT++ and also we shall be offered more informations regarding this topic using various tool. We provide high-quality network performance for your projects, so reach out to omnet-manual.com for optimal project results. Our work spans various network types, including transitions from Wi-Fi to 4G and from 4G to 5G, all while keeping an active session with OMNeT++.