Adaptive Beacon Placement Export

@inproceedings{citeulike:3177864, abstract = {Beacon placement strongly affects the quality of spatial localization, a critical service for context-aware applications in wireless sensor networks; yet this aspect of localization has received little attention. Fixed beacon placement approaches such as uniform and very dense placement are not always viable and will be inadequate in very noisy environments in which sensor networks may be expected to operate (with high terrain and propagation uncertainties). We motivate the need for empirically adaptive beacon placement and outline a general approach based on exploration and instrumentation of the terrain conditions by a mobile human or robot agent. We design, evaluate and analyze three novel adaptive beacon placement algorithms using this approach for localization based on RF-proximity. In our evaluation, we find that beacon density rather than noise level has a more significant impact on beacon placement algorithms. Our beacon placement algorithms are applicable to a low (beacon) density regime of operation. Noise makes moderate density regimes more improvable}, author = {Bulusu, N. and Heidemann, J. and Estrin, D.}, booktitle = {Distributed Computing Systems, 2001. 21st International Conference on.}, citeulike-article-id = {3177864}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICDSC.2001.918979}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=918979}, doi = {10.1109/ICDSC.2001.918979}, journal = {Distributed Computing Systems, 2001. 21st International Conference on.}, keywords = {landmark-placement}, pages = {489--498}, posted-at = {2008-09-01 10:23:00}, priority = {2}, title = {Adaptive Beacon Placement}, url = {http://dx.doi.org/10.1109/ICDSC.2001.918979}, year = {2001} }

TY - CONF ID - citeulike:3177864 L3 - citeulike-article-id:3177864 N2 - Beacon placement strongly affects the quality of spatial localization, a critical service for context-aware applications in wireless sensor networks; yet this aspect of localization has received little attention. Fixed beacon placement approaches such as uniform and very dense placement are not always viable and will be inadequate in very noisy environments in which sensor networks may be expected to operate (with high terrain and propagation uncertainties). We motivate the need for empirically adaptive beacon placement and outline a general approach based on exploration and instrumentation of the terrain conditions by a mobile human or robot agent. We design, evaluate and analyze three novel adaptive beacon placement algorithms using this approach for localization based on RF-proximity. In our evaluation, we find that beacon density rather than noise level has a more significant impact on beacon placement algorithms. Our beacon placement algorithms are applicable to a low (beacon) density regime of operation. Noise makes moderate density regimes more improvable JF - Distributed Computing Systems, 2001. 21st International Conference on. EP - 498 TI - Adaptive Beacon Placement T2 - Distributed Computing Systems, 2001. 21st International Conference on. SP - 489 KW - landmark-placement AU - Bulusu, N AU - Heidemann, J AU - Estrin, D PY - 2001/// UR - http://dx.doi.org/10.1109/ICDSC.2001.918979 ER -