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Optimization of Task Offloading Strategy for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning

open access: yesIEEE Access, 2020
Combined with wireless power transfer (WPT) technology, mobile edge computing can provide continuous energy supply and computing resources for mobile devices, and improve their battery life and business application scenarios.
Haifeng Lu   +5 more
doaj   +2 more sources

Organization and Mobility in Mobile Agent Computing [PDF]

open access: yesInternational Workshop on Programming Multi-Agent Systems, 2006
A mobile agent system for organizing multiple mobile agents is presented. It provides two unique two mechanisms for dynamically organizing mobile agents, which may be running on single or multiple computers. The first enables a mobile agent to contain other mobile agents inside it and migrate to another mobile agent or computer with its inner agents ...
I. Satoh
openaire   +2 more sources

Secure mobile agents for efficient medical information retrieval: A verifiable variable threshold secret sharing approach. [PDF]

open access: yesPLoS ONE
Mobile Agents are a new type of computing that is replacing the client-server approach. Mobile agents are little pieces of code that function automatically on behalf of the owner.
Pradeep Kumar   +5 more
doaj   +2 more sources

A Trust-Based Agent Learning Model for Service Composition in Mobile Cloud Computing Environments

open access: yesIEEE Access, 2019
Mobile cloud computing has the features of resource constraints, openness, and uncertainty which leads to the high uncertainty on its quality of service (QoS) provision and serious security risks.
Wenjuan Li   +4 more
doaj   +2 more sources

Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing [PDF]

open access: yesSensors
The integration of Unmanned Aerial Vehicles (UAVs) into Mobile Edge Computing (MEC) systems has emerged as a transformative solution for latency-sensitive applications, leveraging UAVs’ unique advantages in mobility, flexible deployment, and on-demand ...
Shu Xu   +3 more
doaj   +2 more sources

IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2022
By employing powerful edge servers for data processing, mobile edge computing (MEC) has been recognized as a promising technology to support emerging computation-intensive applications.
Jiadong Yu   +5 more
semanticscholar   +1 more source

Decidability classes for mobile agents computing [PDF]

open access: yesJournal of Parallel and Distributed Computing, 2012
We establish a classification of decision problems that are to be solved by mobile agents operating in unlabeled graphs, using a deterministic protocol. The classification is with respect to the ability of a team of agents to solve the problem, possibly with the aid of additional information.
Fraigniaud, Pierre, Pelc, Andrzej
openaire   +3 more sources

Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing [PDF]

open access: yesIEEE Transactions on Cognitive Communications and Networking, 2020
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the user equipments (UEs) on the ground.
Liang Wang   +5 more
semanticscholar   +1 more source

Capture Based Trust Dependence framework for authorized node identification in mobile agent systems

open access: yesMeasurement: Sensors, 2022
A mobile agent is a self-learning machine entity that uses the system infrastructure to keep running in another remote zone, check and compile the results, interact with various locations and return to his home site after completing the relegated ...
Priyanka Selvaraj   +1 more
doaj   +1 more source

Integrity protection for code-on-demand mobile agents in e-commerce [PDF]

open access: yes, 2002
The mobile agent paradigm has been proposed as a promising solution to facilitate distributed computing over open and heterogeneous networks. Mobility, autonomy, and intelligence are identified as key features of mobile agent systems and enabling ...
Chan, TK, Guan, SU, Wang, TH
core   +1 more source

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