EEE801.1 Presentation dept elect uniport

Seminar presentation

1. A New Mechanism for Modeling Optimal Retransmission Timeout Interval for Bundle Protocol Enhancing Data Delivery in Deep-Space Communications Uzoh Obinna Fabian G2022/MENG/ELECT/FT/020

2. Contents

3. Delay/Disruption Tolerant Networking (DTN) ensures reliable data delivery in extreme conditions like long delays and frequent link disruptions, using a store-and-forward mechanism for environments like deep-space missions. Store-Carry-Forward working principle of DTN Overview of Delay/disruption Tolerant Networking (DTN

4. Problem Statement Challenges in Mission Control and Data Delivery in Deep-Space Long propagation delays complicate real-time data transmission. High likelihood of data loss due to weak and unstable connections. Harsh space environment interferes with signal integrity. Importance of the Bundle Protocol (BP) in DTN Technology BP is essential for reliable data delivery in DTN. Facilitates store-and-forward mechanism to buffer and transmit data. Enhances the robustness of deep-space communications. Critical Need for Optimizing the Retransmission Timeout (RTO) Interval Optimal RTO settings are crucial for efficient file transfers. Prevents excessive delays and minimizes data loss. Ensures high goodput performance and data integrity in challenging conditions.

5. Objective Novel Mechanism for Modeling Optimal RTO for BP Introduction : Developing a new approach to calculate the best Retransmission Timeout (RTO) interval for the Bundle Protocol (BP). Objective : Enhance the efficiency and reliability of data transfers in deep-space missions. Aim: Maximize Goodput Performance in Deep-Space Communications Goal : Achieve high goodput, ensuring most data successfully reaches its destination despite long delays and potential data loss. Approach : Optimize retransmission timing to balance efficiency and reliability, minimizing the impact of communication disruptions.

6. Previous Research on BP Optimization Overview : Various studies have focused on improving the performance of the Bundle Protocol (BP) in Delay/Disruption Tolerant Networking (DTN). Focus Areas : Enhancing data delivery reliability, reducing latency, and maximizing throughput in challenging communication environments like deep-space. Existing Approaches to Setting the RTO Timer Interval Fixed RTO : Some methods use a fixed RTO timer, which may not adapt well to varying network conditions. Adaptive RTO : Other approaches adjust the RTO dynamically based on network performance metrics, aiming for better responsiveness to changes in link quality and delays. Machine Learning Models : Emerging research explores using machine learning to predict optimal RTO settings based on historical data and real-time network conditions. Literature Review

7. NASA's Ingenuity Mars Helicopter Characteristics of Deep-Space Communication Curiosity Mars Rover

8. Development of Analytical Model

9. Discussion Analysis of Results in the Context of Research Objectives Objective Alignment : The analysis aims to evaluate how well the experimental results align with the research objectives of optimizing the Retransmission Timeout (RTO) interval for the Bundle Protocol (BP) in deep-space communications. Comparison with Objectives : The performance metrics, including goodput and successful file delivery rates, are compared against the predefined research objectives to assess the effectiveness of the proposed model. Effectiveness of the Proposed Model Model Validation : The experimental results are used to validate the proposed analytical model for computing the optimal RTO interval. Consistency : The consistency of the model's predictions with the observed performance in the experiments indicates the effectiveness of the model in accurately determining the optimal RTO interval. Performance Improvement : Any improvements in goodput and successful delivery rates achieved by the proposed model are indicative of its effectiveness in enhancing BP performance. Implications for BP Performance in Deep-Space Communications Enhanced Reliability : A model that accurately determines the optimal RTO interval can significantly enhance the reliability of data delivery in deep-space communications. Improved Efficiency : By optimizing the timing of retransmissions, the proposed model can improve the efficiency of BP, ensuring that data is delivered promptly and minimizing the impact of communication disruptions. Mission Success : The implications extend to the success of deep-space missions, where reliable and efficient data transmission is crucial for mission-critical tasks such as scientific data collection, telemetry, and command operations

10. Summary of Findings

11. Overcoming the gaps identified in deep-space communication and Delay/Disruption Tolerant Networking (DTN) can involve the following strategies:

12. Conclusion Conclusive Statement on Model Effectiveness The proposed model for optimizing the Retransmission Timeout (RTO) interval for the Bundle Protocol (BP) in deep-space communications demonstrates significant effectiveness in enhancing the reliability and efficiency of data delivery. By accurately determining the optimal RTO interval, the model ensures timely and successful transmission of critical mission data in challenging deep-space environments. Potential Implications for Improving DTN Technology in Deep-space Explorations The findings of this study hold promising implications for the advancement of Delay/Disruption Tolerant Networking (DTN) technology in deep-space explorations. By optimizing BP's performance through the proposed model, future deep-space missions can benefit from enhanced communication reliability and efficiency. This, in turn, can lead to improved mission outcomes, increased scientific data collection capabilities, and enhanced operational efficiency in deep-space environments. Moreover, the insights gained from this research can inform the development of more robust and resilient DTN architectures tailored to the unique challenges of deep-space communication, thus paving the way for future advancements in space exploration and scientific discovery.

13. Thank you

14. Questions