دورية أكاديمية

Joint multi-source localization and environment perception in wireless sensor networks

التفاصيل البيبلوغرافية
العنوان: Joint multi-source localization and environment perception in wireless sensor networks
المؤلفون: Ling, Qing, Wu, Gang, Jiang, Chengyu, Tian, Zhi
المصدر: Michigan Tech Publications
بيانات النشر: Digital Commons @ Michigan Tech
سنة النشر: 2010
المجموعة: Michigan Technological University: Digital Commons @ Michigan Tech
مصطلحات موضوعية: ℓ regularized least squares 1, Environment perception, Multi-source localization, Received Signal Strength (RSS), Wireless Sensor Networks (WSNs)
الوصف: This paper addresses the problem of joint multi-source localization and environment perception in wireless sensor networks (WSNs) based on received signal strength (RSS). Contrary to the traditional RSS approaches which assume known number of sources and known parameter of environments, we propose to estimate the sources with unknown number and the unknown environmental parameter simultaneously. By assuming that the sources are sparse in the sensing field, a non-convex ℓ1 regularized least squares problem is formulated. This non-convex problem is then decomposed to two simple subproblems, one for multi-source localization and another for environment perception. A joint multi-source localization and environment perception algorithm is proposed, with extensive simulations to validate its effectiveness. © 2010 IEEE.
نوع الوثيقة: text
اللغة: unknown
العلاقة: https://digitalcommons.mtu.edu/michigantech-p/10361Test; https://doi.org/10.1109/CCDC.2010.5498424Test
DOI: 10.1109/CCDC.2010.5498424
الإتاحة: https://doi.org/10.1109/CCDC.2010.5498424Test
https://digitalcommons.mtu.edu/michigantech-p/10361Test
رقم الانضمام: edsbas.BA2A4565
قاعدة البيانات: BASE