Impact of Mobility on Power Consumption in RPL
Implementation of Traffic Engineering Technique in MPLS Network using RSVP
FER Performance Analysis of Adaptive MIMO with OSTBC for Wireless Communication by QPSK Modulation Technique
Performance Evaluation of Advanced Congestion Control Mechanisms for COAP
DGS Based MIMO Microstrip Antenna for Wireless Applications
A Review on Optimized FFT/IFFT Architectures for OFDM Systems
Balanced Unequal Clustering AlgorithmFor Wireless Sensor Network
HHT and DWT Based MIMO-OFDM for Various ModulationSchemes: A Comparative Approach
Study and Comparison of Distributed Energy Efficient Clustering Protocols in Wireless Sensor Network: A Review
Security-ANODR for Provisioning of Neighbour Security in MANETs
This study examines the Handover Success Rates (HSR) within Malawi's mobile telecommunications landscape, extending its analysis beyond the initially narrow scope of Airtel Malawi Plc and Telekom Networks Malawi (TNM) to include a more comprehensive dataset covering multiple quarters from the first quarter of 2020. Employing a robust methodological framework, this paper integrates advanced statistical techniques to assess HSR but also examines data throughput, call setup success rates, and customer experience metrics. The findings reveal that while Airtel and TNM consistently surpass the regulatory benchmarks set by the Malawi Communications Regulatory Authority (MACRA), there exists a significant opportunity for further enhancing network reliability and user satisfaction. By showcasing the application of innovative analytical tools and extending the research scope to include a broader range of performance metrics, this study contributes to a deeper understanding of mobile network performance dynamics. The insights garnered from this analysis not only highlight the necessity for ongoing network optimization efforts but also underscore the potential for adopting next-generation technologies to sustain and improve service quality in the face of increasing demand.
Mobile Ad Hoc Networks (MANETs) are dynamic and self-configuring networks characterized by node mobility and decentralized operations. Efficient routing protocols play a crucial role in ensuring reliable communication while optimizing resource usage, particularly energy consumption. This paper presents a comparative performance evaluation of three prominent routing algorithms, such as S-DYMO, M-DYMO, and FB-B-DYMO, focusing on their scalability and energy efficiency in MANET environments. This study utilizes simulation-based experiments to assess the performance metrics of S-DYMO, M-DYMO, and FB-B-DYMO. Key parameters evaluated include packet delivery ratio (PDR), end-to-end delay, routing overhead, and energy consumption under varying network sizes and mobility scenarios. Each algorithm's ability to scale with network size and maintain performance under dynamic conditions is analyzed to understand its suitability for real-world MANET deployments. The results indicate that S-DYMO exhibits robust scalability and efficient energy utilization in small to medium-sized networks, leveraging its proactive route discovery approach. Conversely, M-DYMO demonstrates competitive performance in larger networks due to its reactive route maintenance strategy, which balances energy efficiency with scalability challenges. FB-DYMO, integrating feedbackbased mechanisms, shows promising results in mitigating routing overhead and energy consumption but exhibits sensitivity to network dynamics. The findings provide insights into the trade-offs between scalability and energy consumption inherent in S-DYMO, M-DYMO, and FB-B-DYMO routing algorithms, offering guidance for selecting appropriate protocols based on specific MANET deployment scenarios. Future research directions include enhancing protocol adaptability to dynamic network conditions and optimizing energy-efficient routing strategies tailored for evolving MANET environments.
In Wireless Sensor Networks (WSNs), maintaining connectivity is crucial due to their dynamic nature. To address this challenge, this paper proposes an "improved schema," a novel approach aimed at enhancing the robustness and efficiency of Mobile Ad Hoc Networks (MANETs). A core advancement in the "improved schema" is its sophisticated neighbor selection algorithm, which considers factors such as node stability, link quality, and proximity. This algorithm ensures the selection of reliable neighbors, thereby improving overall network stability. Another significant improvement in the "improved schema" is the dynamic transmission range adjustment. By adapting transmission ranges in real-time based on current network conditions, the scheme optimizes communication ranges, enhancing network performance in varying environments. Additionally, the scheme leverages knowledge of network topology for pathfinding. By incorporating awareness of the network structure, the "improved schema" identifies more efficient paths for connectivity restoration, thereby minimizing resource utilization and latency. This study conducted extensive simulations to evaluate the performance of the "improved schema" against established schemes, including the Restoring Connectivity through Inward Motion (RIM), Nearest Neighbour (NN), and Survivability-Aware Connectivity Restoration (SACR) strategies. The results consistently demonstrate that the "improved schema" outperforms existing schemes in terms of connectivity robustness, adaptability to dynamic scenarios, and overall network efficiency. These findings underscore the effectiveness of the "improved schema" in addressing the inherent challenges faced by WSNs and MANETs, making it a promising solution for improving network performance in dynamic environments.
In today's fast-paced technological landscape, advancements are happening at the speed of light. Every aspect of the surroundings is intricately linked to development and technology. AI, cloud computing, and the IoT reign supreme in the realm of technology. In the realm of cyberspace, everything is interconnected through computers and networking devices. With the increasing reliance on computers and the internet, ensuring safety becomes ever more critical. Safeguarding network architecture and the proper use of networking devices and tools play a vital role in cybersecurity. This study has developed a system called Network Intrusion Detection System using ML, which is suitable for home network environments. This paper has created an application that makes a significant impact on real-time network environments by providing security for a particular home network. Leveraging ML in networks has improved the results by providing accuracy and efficiency. The algorithm of Logistic Regression is used to demonstrate network behavior and classify network traffic as either in an "Attack" or "Benign" state. This helps in detecting suspicious activities across the network and can prevent them at a later stage.
MANETs are a type of wireless ad hoc network characterized by a wireless medium. The MANET's inherent characteristics, like dynamic change in topology and lack of central administration, reduce the possibility of provisioning security. Most of the studies have concentrated more on providing security than the computational cost of energy utilization. Neighbor security is proposed in this paper in addition to the existing de facto ANODR protocol for provisioning security in ANODR. The design and implementation of FB-NTT-S-ANODR to minimize energy consumption, thereby enhancing the network lifetime, are suggested. A soft computing technique for optimizing the performance of FB-NTT-S-ANODR is attempted. From experimental results, the proposed FB-NTT-S-ANODR minimizes the total energy consumption by 93.07%. Hence, the proposed method is more suitable for provisioning security and enhancing the network lifetime.
