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In view of the problems in the maintenance and deployment of wired sensor networks in industrial environment, this paper propose the application of wireless sensor networks to industrial control network. In consideration of the interference of the wireless sensor network and the obstruction of the barrier, a wireless sensor network model for multi hop wireless sensor is established based on S-MAC...
In this paper, multiple ground vehicles passing through a region that are observed by audio sensor arrays are efficiently classified using a Hierarchical Hidden Markov Model (HHMM). The states in the HHMM contain another HMM which represents a time sequence of the vehicle acoustic signals. The HMM represents the distribution of the output of the HHMM, where The HMM models the features of the continuous...
It is challenging to classify multiple dynamic targets in wireless sensor networks based on the time-varying and continuous signals. In this paper, multiple ground vehicles passing through a region are observed by audio sensor arrays and efficiently classified. Hidden Markov Model (HMM) is utilized as a framework for classification based on multiple hypothesis testing with maximum likelihood approach...
Multisensor data fusion has many military and civilian applications due to its statistical advantages. In this work, we propose a heuristic to enhance cooperative detection of moving targets within a region that is monitored by a wireless sensor network. This heuristic is based on fuzzy dynamic weighted majority voting for decision fusion. It fuses all the local decisions of the neighboring sensor...
This paper proposes a scheme for position estimation of randomly deployed sensor nodes in a wireless sensor network. Without GPS capability on any of the sensors, the position estimation is facilitated by beacons that move within the network. The beacons are equipped with GPS and can broadcast messages that contain the beacon identifiers and their current positions. With erroneous boundary beacon...
A body sensor network (BSN) is presented in this paper, which targets at integrating physical activity signal and physiologically related features to provide detailed body context information. Issues concerning the structure of the proposed BSN, functions and interactions between its components are stressed. The BSN has been applied to conduct gait analysis in this study. A gait tracker based on Kalman...
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