مشاهده مشخصات مقاله
Weighted Consensus-Based Cooperative Spectrum Sensing with Learning Automata (LA) in Cognitive Radio Networks
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نویسنده (ها) |
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Milad Soltani
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Abdorasoul Ghasemi
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مربوط به کنفرانس |
سمپوزیوم شبکههای کامپیوتری و سیستمهای توزیع شده 2013 |
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چکیده |
In traditional cooperative spectrum sensing such as OR-rule
or AND-rule, secondary user (SU) must maintain coordination based on
a fusion center. In this paper, we propose the weighted average consen-
sus, based on Learning Automata(LA), for fully distributed cooperative
spectrum sensing without fusion center. At the first stage of the pro-
posed scheme, each SU makes measurement about presence of primary
user (PU) at the beginning of each time slot, then communicates with
local neighbors to exchange information to make the final decision and
update its weight using a LA based algorithm. Simulation results show
that the proposed scheme has better performance than the non weighted
consensus and existing weighted consensus scheme. Also, the convergence
time of the proposed scheme is less than the existing weighted consensus
and almost equal to non weighted consensus scheme |
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قیمت |
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