Compressive cooperative sensing and mapping in mobile networks Export

@inproceedings{YMostofi09, abstract = {In this paper we consider a mobile cooperative network that is tasked with building a map of the spatial variations of a parameter of interest, such as an obstacle map or an aerial map. We propose a new framework that allows the nodes to build a map of the parameter of interest with a small number of measurements. By using the recent results in the area of compressive sensing, we show how the nodes can exploit the sparse representation of the parameter of interest in the transform domain in order to build a map with minimal sensing. The proposed work allows the nodes to efficiently map the areas that are not sensed directly. To illustrate the performance of the proposed framework, we show how the nodes can build an aerial map or a map of obstacles with sparse sensing. We furthermore show how our proposed framework enables a novel non-invasive approach to mapping obstacles by using wireless channel measurements.}, author = {Mostofi, Y. and Sen, P.}, citeulike-article-id = {6071630}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ACC.2009.5160306}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5160306}, day = {10}, doi = {10.1109/ACC.2009.5160306}, journal = {American Control Conference, 2009. ACC '09.}, keywords = {compressive, cooperative, mapping, sensing}, month = {July}, pages = {3397--3404}, posted-at = {2009-11-04 22:16:33}, priority = {2}, title = {Compressive cooperative sensing and mapping in mobile networks}, url = {http://dx.doi.org/10.1109/ACC.2009.5160306}, year = {2009} }

TY - CONF ID - YMostofi09 L3 - citeulike-article-id:6071630 N2 - In this paper we consider a mobile cooperative network that is tasked with building a map of the spatial variations of a parameter of interest, such as an obstacle map or an aerial map. We propose a new framework that allows the nodes to build a map of the parameter of interest with a small number of measurements. By using the recent results in the area of compressive sensing, we show how the nodes can exploit the sparse representation of the parameter of interest in the transform domain in order to build a map with minimal sensing. The proposed work allows the nodes to efficiently map the areas that are not sensed directly. To illustrate the performance of the proposed framework, we show how the nodes can build an aerial map or a map of obstacles with sparse sensing. We furthermore show how our proposed framework enables a novel non-invasive approach to mapping obstacles by using wireless channel measurements. JF - American Control Conference, 2009. ACC '09. EP - 3404 TI - Compressive cooperative sensing and mapping in mobile networks SP - 3397 KW - compressive KW - cooperative KW - mapping KW - sensing AU - Mostofi, Y AU - Sen, P PY - 2009/07/10/ UR - http://dx.doi.org/10.1109/ACC.2009.5160306 ER -