Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICCS.2006.301434
DC Field | Value | |
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dc.title | Coordinated rate control in wireless sensor network | |
dc.contributor.author | Saoseng, J.-Y. | |
dc.contributor.author | Tham, C.-K. | |
dc.date.accessioned | 2014-06-19T03:04:12Z | |
dc.date.available | 2014-06-19T03:04:12Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Saoseng, J.-Y.,Tham, C.-K. (2006). Coordinated rate control in wireless sensor network. 2006 IEEE Singapore International Conference on Communication Systems, ICCS 2006 : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICCS.2006.301434" target="_blank">https://doi.org/10.1109/ICCS.2006.301434</a> | |
dc.identifier.isbn | 1424404118 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/69748 | |
dc.description.abstract | We consider the problem of achievable throughput maximization in wireless sensor network. Implementing a multi-agent system enables these nodes to perform sensing tasks in coordinated manner to achieve some desired system-wide objective. Our study results in a bandwidth allocation strategy that assigns a near-optimal transmission policy while adapting to the current traffic, channel load, and buffer occupancy. We present a reinforcement learning approach to rate control in wireless sensor network. A novel feature of our method lays in the incorporation of external coordination signals produced by a variant of belief propagation in graphical models. © 2006 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCS.2006.301434 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/ICCS.2006.301434 | |
dc.description.sourcetitle | 2006 IEEE Singapore International Conference on Communication Systems, ICCS 2006 | |
dc.description.page | - | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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