دورية أكاديمية

A resource-efficient time estimation for wireless sensor networks

التفاصيل البيبلوغرافية
العنوان: A resource-efficient time estimation for wireless sensor networks
المؤلفون: Daniela Tulone
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://people.csail.mit.edu/tulone/papers/p09-tulone.pdfTest.
بيانات النشر: ACM Press
سنة النشر: 2004
المجموعة: CiteSeerX
مصطلحات موضوعية: Algorithms, Performance, Measurement. Keywords Time estimation, clock drift rate, clock synchronization, time series
الوصف: We study the problem of providing a sensor node with an accurate estimate of the current time, from a novel prospective which is complementary to the well–studied clock synchronization problem. More precisely, we analyze the case in which a sensor node is temporarily unable to run a clock synchronization protocol due to low–energy, or intermittent connectivity, or process failures, but still requires an accurate estimate of the time. We propose and analyze two efficient clock reading methods, one deterministic and the other probabilistic, which are designed to work in synergy with clock synchronization protocols to provide a better time estimate. Our deterministic method achieves a better accuracy by exploiting the sign of the global deviation of the hardware clock from the reference time, and can be applied to reduce the frequency of the periodic clock adjustments by a factor 2, while maintaining the same time uncertainty. The second method based on time series forecasting, is more flexible than the previous one since it is independent of the frequency at which clock synchronization occur.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.3760Test; http://people.csail.mit.edu/tulone/papers/p09-tulone.pdfTest
الإتاحة: http://people.csail.mit.edu/tulone/papers/p09-tulone.pdfTest
حقوق: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.8A996067
قاعدة البيانات: BASE