Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization
نویسندگان
چکیده
منابع مشابه
Tracking Mobile Users in Wireless Communication Networks
Tracking strategies for mobile wireless networks are studied. We assume a cellular architecture where base stations that are interconnected by a wired network communicate with mobile units via wireless links. Previous works focused on the cost of utilizing the wired links for management of directories. In this paper, the issue considered is the cost of utilizing the wireless links for the actua...
متن کاملTarget Tracking Based on Virtual Grid in Wireless Sensor Networks
One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of this paper was to introduce an efficient and novel mobility management protocol namely Target Tr...
متن کاملMobile object tracking in wireless sensor networks
Wireless sensor network is an emerging technology that enables remote monitoring objects and environment. This paper proposes a protocol to track a mobile object in a sensor network dynamically. The previous researches almost focus on how to track object accurately and they do not consider the query for mobile sources. Additionally, they need not report the tracking information to user. The wor...
متن کاملTracking-Based Semi-Supervised Learning
In this paper, we consider a semi-supervised approach to the problem of track classification in dense 3D range data. This problem involves the classification of objects that have been segmented and tracked without the use of a class-specific tracker. We propose a method based on the EM algorithm: iteratively 1) train a classifier, and 2) extract useful training examples from unlabeled data by e...
متن کاملOn the Problem of Tracking Mobile Users in Wireless Communications Networks
The tracking strategy for mobile users in wireless communication networks proposed by Bar-Noy and Kessler in [1] essentially finds a minimal set of reporting centers in the cellular network. The size of the set of reporting centers in the mobility graph, and the vicinity (i.e., the number of non reporting centers in the neighborhood of a reporting center) are measures of the cost of the two mai...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2012
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2011.165