Global systems for mobile communications (GSM) Powered Gas Leakage Detection system aims to prevent gas leakages, especially from inflammable sources like LPG, which poses great risk. This presents a gas leakage detec...
详细信息
We propose GreDedup, a greedy algorithm based application-aware data routing strategy for distributed deduplication, which can achieve a good tradeoff between high global deduplication ratio and scalable performance b...
详细信息
Recently, Unmanned Aerial Vehicles (UAVs) have been integrated into Mobile Edge computing (MEC) systems to handle substantial data tasks from distributed user devices, thereby reducing computational task latency and e...
详细信息
ISBN:
(纸本)9798350374223;9798350374216
Recently, Unmanned Aerial Vehicles (UAVs) have been integrated into Mobile Edge computing (MEC) systems to handle substantial data tasks from distributed user devices, thereby reducing computational task latency and energy consumption, and enhancing quality of service. However, existing UAV-assisted MEC systems face challenges such as limited computational capabilities and energy resources, inefficient task allocation, and suboptimal UAV trajectories, which increase latency and energy consumption. To effectively confront these challenges, this paper proposes a novel approach that reduces the system's average latency and enhances energy efficiency through a joint optimization of user association, task allocation, and UAV dynamic trajectories. First, we develop a comprehensive joint optimization framework that integrates user association, task allocation, and UAV trajectory planning to minimize latency and energy consumption. Second, we formulate the problem as a Markov Decision Process (MDP) and apply the Twin Delayed Deep Deterministic Policy Gradient algorithm in Deep Reinforcement Learning to solve the MDP, leveraging the high continuity in the state and action spaces of the system. Finally, simulation results demonstrate that our proposed approach outperforms existing baseline algorithms in reducing the system's average delay and improving energy efficiency.
Mobile edge computing plays a vital role in emerging communication technologies;Edge computing is known for its low latency. Task are offloaded from the mobile users to the servers. For processing the data, edge serve...
详细信息
Healthcare systems are increasingly adopting IoT-enabled solutions, from wearables to remote surgery platforms;thus, we can expect enormous cybersecurity and data protection risks. In this paper, we propose a penetrat...
详细信息
As the demand for energy-efficient computing con-tinues to grow, researchers and engineers are exploring novel ways to reduce power consumption without compromising performance. Approximate computing has emerged as a ...
详细信息
Erasure Coding is a redundancy technology commonly used in distributed storage systems (DSS) to ensure data reliability. However, the large number of repair operations required by Erasure Coding results in a large con...
详细信息
Payment Channel Networks (PCNs) can significantly enhance the scalability of blockchain transactions without requiring major modifications to the underlying distributed ledger protocol. However, to enable efficient an...
详细信息
The broad use of virtualization of hardware, service-oriented architecture, autonomic and utility computing, and the availability of inexpensive processors and storage devices have all contributed to the expansion of ...
详细信息
Cloud computing has experienced rapid growth, yet data breaches and unauthorized account access continue to be significant threats. Traditional cryptographic authentication methods, although mathematically complex, of...
详细信息
暂无评论