Adaptive Channel Selection Through Collaborative Sensing Export

@proceedings{citeulike:3198002, abstract = {Proper channel selection is essential to exploit the benefits of multi-channel systems by distributing conflicting transmissions across non-interfering channels. Critical to channel selection is the channel quality metric. We propose a busy time ratio (BTR) metric that captures channel contention and user traffic load under a variety of network dynamics. We also propose a distributed collaborative sensing scheme to reduce sensing overhead and energy consumptions. The proposed algorithms can be implemented using conventional 802.11 hardware with single radio interface. The proposed metric can be integrated with routing and channel selection. Experimental results show that the proposed scheme significantly outperforms the existing channel selection methods.}, author = {Yang, Guang-Hua and Zheng, Haitao and Zhao, Jun and Li, V. O. K.}, booktitle = {Communications, 2006. ICC '06. IEEE International Conference on}, citeulike-article-id = {3198002}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICC.2006.255656}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4025057}, comment = {The paper proposes using a busy time ration metric to capture channel contention in order to choose the best channel for communication under a variety of network dynamics. This work is more the category of Multi-channel MACs (such as MMAC) as opposed to opportunity discovery in the primary-secondary type scenarios of DSA.}, doi = {10.1109/ICC.2006.255656}, journal = {Communications, 2006. ICC '06. IEEE International Conference on}, keywords = {collaborative, sensing}, pages = {3753--3758}, posted-at = {2008-09-05 19:59:36}, priority = {0}, title = {Adaptive Channel Selection Through Collaborative Sensing}, url = {http://dx.doi.org/10.1109/ICC.2006.255656}, volume = {8}, year = {2006} }

TY - CONF ID - citeulike:3198002 L3 - citeulike-article-id:3198002 N2 - Proper channel selection is essential to exploit the benefits of multi-channel systems by distributing conflicting transmissions across non-interfering channels. Critical to channel selection is the channel quality metric. We propose a busy time ratio (BTR) metric that captures channel contention and user traffic load under a variety of network dynamics. We also propose a distributed collaborative sensing scheme to reduce sensing overhead and energy consumptions. The proposed algorithms can be implemented using conventional 802.11 hardware with single radio interface. The proposed metric can be integrated with routing and channel selection. Experimental results show that the proposed scheme significantly outperforms the existing channel selection methods. JF - Communications, 2006. ICC '06. IEEE International Conference on EP - 3758 TI - Adaptive Channel Selection Through Collaborative Sensing VL - 8 T2 - Communications, 2006. ICC '06. IEEE International Conference on SP - 3753 KW - collaborative KW - sensing N1 - The paper proposes using a busy time ration metric to capture channel contention in order to choose the best channel for communication under a variety of network dynamics. This work is more the category of Multi-channel MACs (such as MMAC) as opposed to opportunity discovery in the primary-secondary type scenarios of DSA. AU - Yang, Guang-Hua AU - Zheng, Haitao AU - Zhao, Jun AU - Li, VOK PY - 2006/// UR - http://dx.doi.org/10.1109/ICC.2006.255656 ER -