مشاهده مشخصات مقاله
Multi-Agent Computer Network Routing System Based on Recursive Modeling Method and Bayesian Belief Update
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نویسنده (ها) |
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Kambiz Rahbar
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Mohammad-R Akbarzadeh-T
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
This research addresses computer network routing based on recursive modeling method (RMM). In our
proposed method, each router as an intelligent agent uses RMM tree-like structure to make a rational and
intelligent decision on transmitting packages. This decision is made based on the models of other routers in the
network and its belief about them. However, as the network conditions vary with time, the needs of updating
each routers belief about others can not be neglected. To achieve this goal, Bayesian law is used to update routers
belief about others. To validate the proposed method, we test it as a computer simulation. The results show that
this method increases the network performance by decreasing the network overhead arising from routers
packages. Additionally, as the network dynamics increases, employing Bayesian law helps the routers to quickly
adapt to the new conditions. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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