Jennifer Yick

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A wireless sensor network (WSN) has important applications such as remote environmental monitoring and target tracking. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper, and intelligent. These sensors are equipped with wireless interfaces with which they can communicate with one another to form a(More)
Target tracking in wireless sensor networks requires efficient coordination among sensor nodes. Existing methods have focused on tree-based collaboration, selective activation, and group clustering. This paper presents a prediction-based adaptive algorithm for tracking mobile targets. We use adaptive Kalman filtering to predict the future location and(More)
A wireless sensor network is type of wireless network. Basically it consist a collection of tiny device are called sensor node, sensor node has a resource constraint means battery power, storage and communication capability. These sensor nodes are set with radio interface with which they communicated with one another to form a network. Wireless sensor(More)
We study the problem of target tracking and boundary detection of a substance diffusing from a mobile source (e.g., spread of a toxic gas from a moving vehicle) using a wireless sensor network. We present a predictionbased mobility adaptive tracking (P-MAT) algorithm to study the tradeoff between energy, accuracy of tracking, coverage, and boundary(More)
Localization and clustering of sensor nodes are important services in a sensor network since the nodes are typically deployed in an ad-hoc manner into an infrastructure-less terrain. When beacons are used for localization, there are two critical design issues: 1) to maximize the lifetime of the beacons and 2) to maximize the coverage area. With clustering,(More)
Congestion in a Wireless Sensor Network (WSN) can lead to buffer overflow, resource waste and delay or loss of critical information from the sensors. In this paper, we propose the Priority-based Coverage-aware Congestion Control (PCC) algorithm which is distributed, priority-distinct, and fair. PCC provides higher priority to packets with event information(More)
Congestion in a wireless sensor network (WSN) can lead to buffer overflow, resource waste and delay or loss of critical information from the sensors. In this paper, we propose the priority-based coverage-aware congestion control (PCC), which is a distributed, priority-distinct, and fair mechanism. PCC provides higher priority to packets with event(More)