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In this paper, we propose and demonstrate a novel wireless camera network system, called CITRIC. The core component of this system is a new hardware platform that integrates a camera, a frequency-scalable (up to 624 MHz) CPU, 16 MB FLASH, and 64 MB RAM onto a single device. The device then connects with a standard sensor network mote to form a camera mote.(More)
— This paper considers the problem of pursuit evasion games (PEGs), where a group of pursuers is required to chase and capture a group of evaders in minimum time with the aid of a sensor network. We assume that a sensor network is previously deployed and provides global observability of the surveillance region, allowing an optimal pursuit policy. While(More)
— This paper considers the problem of tracking an unknown number of targets using a wireless sensor network for surveillance. In particular, we consider the case in which each sensor reports only a binary value indicating whether an object is detected near the reporting sensor or not. Since the number of targets and initial states of targets are unknown in(More)
Smart camera networks have recently emerged as a new class of sensor network infrastructure that is capable of supporting high-power in-network signal processing and enabling a wide range of applications. In this article, we provide an exposition of our efforts to build a low-bandwidth wireless camera network platform, called CITRIC, and its applications in(More)
— On August 30, 2005, we successfully demonstrated a large-scale, real-time, surveillance and control application on a wireless sensor network. The task was to track multiple human targets walking through a 5041 square meter sensor field and dispatch simulated pursuers to capture them. We employed a multi-target tracking algorithm that was a combination of(More)
Multiple-target tracking is a representative real-time application of sensor networks as it exhibits different aspects of sensor networks such as event detection, sensor information fusion, multi-hop communication, sensor management and real-time decision making. The task of tracking multiple objects in a sensor network is challenging due to constraints on(More)
Many of the routing protocols that have been designed for wireless ad-hoc networks focus on energy-efficiency and guaranteeing high throughput in a non-adversarial setting. However, given that ad-hoc and sensor networks are deployed and left unattended for long periods of time, it is crucial to design secure routing protocols for these networks. Over the(More)
—There has been a recent rise in interest in building networked control systems over a wireless network, whether they be for robot navigation, multi-robot systems, or traditional industrial automation. The wireless networks in these systems must deliver packets between the controller and the actua-tors/sensors reliably and with low latency. Furthermore,(More)
While the traditional wireless sensor networks (WSN) consist of low-bandwidth sensors with limited capabilities, e.g., acoustic, vibration, and infrared sensors, camera sensor networks can provide visual verification, in-depth situational awareness, recognition, and other capabilities ([1], and references therein).
Understanding the Prediction Gap in Multi-hop Localization Wireless sensor networks consist of many tiny, wireless, battery-powered sensor nodes that enable the collection of sensor data from the physical world. A key requirement to interpreting this data is that we identify the locations of the nodes in space. To this end, many techniques are being(More)