Published: Dec. 14, 2024
Language: Английский
Future Internet, Journal Year: 2025, Volume and Issue: 17(1), P. 11 - 11
Published: Jan. 1, 2025
Information-centric networking (ICN) changes the way data are accessed by focusing on content rather than location of devices. In this model, each piece has a unique name, making it accessible directly name. This approach suits Internet Things (IoT), where generation and real-time processing fundamental. Traditional host-based communication methods less efficient for IoT, ICN better fit. A key advantage is in-network caching, which temporarily stores across various points in network. caching improves access speed, minimizes retrieval time, reduces overall network traffic frequently readily available. However, IoT systems involve constantly updating data, requires managing freshness while also ensuring their validity accuracy. The interactions with cached such as updates, validations, replacements, crucial optimizing system performance. research introduces an ICN-IoT method to manage process IoT. It optimizes sharing only most current valid reducing unnecessary transfers. Routers model calculate freshness, assess its validity, perform cache updates based these metrics. Simulation results four models show that enhances hit ratios, load, delays, outperforming similar methods. proposed uses artificial neural make predictions. These predictions closely match actual values, low error margin 0.0121. precision highlights effectiveness maintaining currentness overhead.
Language: Английский
Citations
1
Mathematics, Journal Year: 2025, Volume and Issue: 13(4), P. 597 - 597
Published: Feb. 12, 2025
Internet of Things (IoT) technology has facilitated the deployment autonomous sensors in remote and challenging environments, enabling substantial advancements environmental monitoring data collection. IoT continuously gather data, transmitting it to a central Base Station (BS) via designated Cluster Heads (CHs). However, flow encounters frequent congestion at CH nodes, negatively impacting network performance Quality Service (QoS). This paper introduces novel control strategy tailored for Wireless Sensor Networks (WSNs) balance energy efficiency reliability. The proposed approach follows an eight-step process, integrating Generative Adversarial (GANs) enhanced clustering Ant Colony Optimization (ACO) optimal selection routing. GANs simulate realistic node clustering, achieving better load distribution conservation across network. ACO then selects CHs based on levels, distance, centrality, using pheromone-based routing adaptively manage flows. A factor (CF) threshold is also incorporated dynamically reroute traffic when risks arise, preserving QoS. Simulation results show that this significantly improves QoS metrics, including latency, throughput, Comparative evaluations reveal our method outperforms existing frameworks, such as Fuzzy Structure Genetic-Fuzzy (FSFG), Deep Reinforcement Learning Cache-Aware Congestion Control (DRL-CaCC), Adaptive Cuckoo Search Rate (ACSRO).
Language: Английский
Citations
1
Smart Cities, Journal Year: 2024, Volume and Issue: 7(5), P. 2802 - 2841
Published: Oct. 1, 2024
Smart cities increasingly rely on the Internet of Things (IoT) to enhance infrastructure and public services. However, many existing IoT frameworks face challenges related security, privacy, scalability, efficiency, low latency. This paper introduces Blockchain Federated Learning for (BFLIoT) framework as a solution these issues. In proposed method, first collects real-time data, such traffic flow environmental conditions, then normalizes, encrypts, securely stores it blockchain ensure tamper-proof data management. second phase, Data Authorization Center (DAC) uses advanced cryptographic techniques manage secure access control through key generation. Additionally, edge computing devices process locally, reducing load central servers, while federated learning enables distributed model training, ensuring privacy. approach provides scalable, secure, efficient, low-latency applications in smart cities. A comprehensive security proof demonstrates BFLIoT’s resilience against cyber threats, performance simulations validate its effectiveness, showing significant improvements throughput, reliability, energy reduced delay city applications.
Language: Английский
Citations
5
Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101587 - 101587
Published: March 1, 2025
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Dec. 28, 2024
The emergence of 6G cognitive radio IoT networks introduces both opportunities and complexities in spectrum access security. Blockchain technology has emerged as a viable solution to address these challenges, offering enhanced security, transparency, efficiency management. This survey paper offers thorough analysis recent advancements blockchain-enabled security mechanisms specifically for within networks. Covering literature from 2019 the present, highlights significant contributions developments integrating blockchain with systems. It reviews shows how blockchain's decentralized approach can solve related issues. Key areas focus include secure authentication systems, tamper-resistant sensing, databases, smart contracts also addresses ongoing challenges like interoperability, scalability, need comprehensive frameworks. Future research directions are proposed, emphasizing development advanced protocols, integration machine learning, addressing regulatory standardization concerns. provides valuable insights researchers practitioners aiming leverage technology, alongside ML/AI, enhance next-generation
Language: Английский
Citations
1
Published: Dec. 14, 2024
Language: Английский
Citations
0