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Distributed Multi-agent Schemes for Predictable QoS on Heterogenous Wireless Networks
In realizing cyber-physical systems, research on developing network supported with predictable Quality of Service (QoS) is extremely important. This study exploits heterogeneous networking as communication medium of cyber physical application using a distributed multi-agent scheme (DMAS). The DMAS i...
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Main Authors: | , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | In realizing cyber-physical systems, research on developing network supported with predictable Quality of Service (QoS) is extremely important. This study exploits heterogeneous networking as communication medium of cyber physical application using a distributed multi-agent scheme (DMAS). The DMAS is based on the concept of cooperation and the awareness algorithm. The proposed scheme is developed for supporting QoS management which consists of a collection of problem-solving agents with three modules: the knowledge source, the in-cloud blackboard system, and the control engine built into the scheme. A set of problem-solving agents autonomously process local tasks and cooperatively interoperate via an in-cloud blackboard system to guarantee QoS. An awareness algorithm, called the Q-learning algorithm, calculates the exceptive rewards of a handoff to all access networks. These rewards are then used by these problem solving agents to determine what to do. Through operations and cooperation among the active agents, a policy is selected and a user-accepted schedule that meets the specified QoS is generated. In addition, to realize actual results, an integrated test-bed emulation network based on NetFPGA-OpenFlow platform is purposed in this paper. |
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ISSN: | 1521-9097 2690-5965 |
DOI: | 10.1109/ICPADS.2011.52 |