A Reputation Mechanism for Dynamical Interactions in Multiagent Systems Under Quality of Service Requirements
成果类型:
Article
署名作者:
Tedesco, Francesco; Franze, Giuseppe; Casavola, Alessandro
署名单位:
University of Calabria
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2020.3043319
发表日期:
2021
页码:
5021-5028
关键词:
Quality of service
Servers
switches
sensors
switching systems
satellites
Protocols
multiagent systems
opinion dynamics
quality of service state estimation
摘要:
A novel and original distributed reputation mechanism is here proposed for a class of networked systems characterized by two distinct groups of nodes: user agents and service providers (servers/resources). The proposed methodology is in charge of intercepting those resources that have the highest quality of service (QoS) on the basis of their reputation (trust) shared among agents. Such a reputation may change over the time mainly influenced by changing performance indexes and other events. As a result, it is shown that the trust evolution can be modeled as the output of a positive switching linear system. This model straightforwardly allows one to prove trust boundedness and other relevant steady-state properties. To illustrate the benefits of this approach, a sensors selection problem for state estimation is outlined and addressed within the proposed framework. In particular, it is formally proved that the resulting estimation scheme ensures, over the time, the selection of the sensor with the current best perceived QoS in a finite time.