Channel access framework for cognitive radio-based wireless sensor networks using reinforcement learning
Cognitive radio-based wireless sensor network is a new paradigm in sensor networks research. It is considered to revolutionize next generation sensor networks. Therefore, it is of paramount importance to develop an efficient channel access technique suitable for cognitive radio-based wireless sensor...
保存先:
主要な著者: | Abolarinwa, J. A., Latiff, N. M. A., Yusof, S. K. S. |
---|---|
フォーマット: | Conference or Workshop Item |
出版事項: |
2015
|
主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/59180/ http://dx.doi.org/10.1109/SCOReD.2013.7002615 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Channel decision in cognitive radio enabled sensor networks: A reinforcement learning approach
著者:: Abolarinwa, Joshua A., 等
出版事項: (2015) -
Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks
著者:: Maqbool, Wajahat, 等
出版事項: (2013) -
Intelligent selective spectrum access in cognitive radio networks
著者:: Jasrina, J., 等
出版事項: (2016) -
Coexistence of wireless sensor network and wireless local area networks using cognitive radio
著者:: Haron, Muhammad Adib
出版事項: (2007) -
Channel assignment and optimal path selection for cognitive radio wireless mesh networks
著者:: Maqbool, Wajahat
出版事項: (2021)