Multiple Region of Interest Coverage in Camera Sensor Networks for Tele-Intensive Care Units
Camera sensor networks (CSNs) are gradually being used in a tele-intensive care unit (tele-ICU), providing useful patient information to remote intensivists. Intensivists wish to focus on different regions of interest (RoIs) containing their patients. We consider a situation where preinstalled camer...
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| Veröffentlicht in: | IEEE transactions on industrial informatics Jg. 12; H. 6; S. 2331 - 2341 |
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| Sprache: | Englisch |
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01.12.2016
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| Abstract | Camera sensor networks (CSNs) are gradually being used in a tele-intensive care unit (tele-ICU), providing useful patient information to remote intensivists. Intensivists wish to focus on different regions of interest (RoIs) containing their patients. We consider a situation where preinstalled camera sensors' locations remain static and they can change the fields of view only by rotating orientations, while the RoIs are dynamically changed in location and size because of changes in the number of patients and care unit configuration. Therefore, an important issue is how to enhance the coverage of these RoIs by controlling the camera sensors' orientations. Previous studies on coverage optimization either focus on single area coverage or point(s) coverage. However, ignoring those multiple RoIs or simply treating them as points can cause unwanted coverage, resulting in performance degradation. In this paper, we investigate a novel multiple RoI coverage (MRC) problem in a CSN-based tele-ICU, aiming to maximize the lowest coverage ratio of all RoIs. The MRC problem is nondeterministic polynomial-time hard, so we propose an efficient heuristic algorithm MRC-Priority to solve it. We have implemented a CSN testbed to evaluate the performance of our proposed algorithm. Experimental results show that our proposed algorithm can improve the lowest coverage ratio up to 200% as compared with existing solutions. |
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| AbstractList | Camera sensor networks (CSNs) are gradually being used in a tele-intensive care unit (tele-ICU), providing useful patient information to remote intensivists. Intensivists wish to focus on different regions of interest (RoIs) containing their patients. We consider a situation where preinstalled camera sensors' locations remain static and they can change the fields of view only by rotating orientations, while the RoIs are dynamically changed in location and size because of changes in the number of patients and care unit configuration. Therefore, an important issue is how to enhance the coverage of these RoIs by controlling the camera sensors' orientations. Previous studies on coverage optimization either focus on single area coverage or point(s) coverage. However, ignoring those multiple RoIs or simply treating them as points can cause unwanted coverage, resulting in performance degradation. In this paper, we investigate a novel multiple RoI coverage (MRC) problem in a CSN-based tele-ICU, aiming to maximize the lowest coverage ratio of all RoIs. The MRC problem is nondeterministic polynomial-time hard, so we propose an efficient heuristic algorithm MRC-Priority to solve it. We have implemented a CSN testbed to evaluate the performance of our proposed algorithm. Experimental results show that our proposed algorithm can improve the lowest coverage ratio up to 200% as compared with existing solutions. |
| Author | Weijia Jia Gerhard, P. Hancke Bo Cheng Wei Zhao Lin Cui |
| Author_xml | – sequence: 1 surname: Bo Cheng fullname: Bo Cheng email: bocheng5-c@my.cityu.edu.hk organization: Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China – sequence: 2 surname: Lin Cui fullname: Lin Cui email: tcuilin@jnu.edu.cn organization: Dept. of Comput. Sci., Jinan Univ., Guangzhou, China – sequence: 3 surname: Weijia Jia fullname: Weijia Jia email: jia-wj@cs.sjtu.edu.cn organization: Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China – sequence: 4 surname: Wei Zhao fullname: Wei Zhao email: weizhao@umac.mo organization: Dept. of Comput. Sci., Univ. of Macau, Macau, China – sequence: 5 givenname: P. Hancke surname: Gerhard fullname: Gerhard, P. Hancke email: gp.hancke@cityu.edu.hk organization: Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China |
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| Cites_doi | 10.1016/j.adhoc.2011.02.003 10.1145/1978802.1978811 10.1007/s10878-006-5975-x 10.1109/ICPPW.2007.51 10.1007/11943952_22 10.1145/2594770 10.1145/2069131.2069164 10.1109/TII.2015.2471263 10.1145/2107502.2107518 10.1089/tmj.2011.0045 10.1109/INFCOM.2009.5062233 10.1109/TII.2015.2491267 10.1016/j.comnet.2008.06.009 10.1109/TII.2015.2491259 10.1109/TII.2013.2255616 10.1109/TII.2014.2330976 10.1145/2489253.2489262 10.1109/JSEN.2014.2349073 10.1109/ISECS.2009.116 10.1145/2422966.2422978 |
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| SubjectTerms | Algorithms Camera sensor networks (CSNs) Cameras healthcare Heuristic algorithms Heuristic methods Intensive care Medical services multiple RoI coverage (MRC) Optimization Patient monitoring Performance degradation Performance evaluation Polynomials Sensors tele-intensive care unit (tele-ICU) Telemedicine |
| Title | Multiple Region of Interest Coverage in Camera Sensor Networks for Tele-Intensive Care Units |
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