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The following topics are dealt with: detection and tracking; routing; IP-track; SPOTS track; data communications; localization; programming and optimization.
This paper presents results from experiments, mathematical analysis, and simulations of a network of static and mobile sensors for detecting threats on city streets and in open areas such as parks. The paper focuses on the detection of nuclear radiation threats and shows how the analysis can be extended to other classes of threat. The paper evaluates algorithms that integrate methods of parametric...
Can cell phones be used to detect earthquakes? The Community Seismic Network (CSN) is building a dense sensor network from inexpensive and community owned sensors, such as cell phones and USB accelerometers. Detecting rare events such as earthquakes is a difficult sensing problem, and is compounded by the wide variations among sensors in a heterogeneous community network. We demonstrate an end-to-end...
This paper presents a scalable algorithm for managing property information about moving objects tracked by a sensor network. Property information is obtained via distributed sensor observations, but will be corrupted when objects mix up with each other. The association between properties and objects then becomes ambiguous. We build a novel representation framework, exploiting an overcomplete Radon...
Low energy neighbor discovery, group formation, and group maintenance is a fundamental service in mobile sensor networks. Traditional solutions consider these protocols separately. In this paper, we introduce WiFlock, an energy-efficient protocol that combines discovery and maintenance using a collaborative beaconing mechanism. WiFlock combines a coordinated synchronized listening and evenly-spaced...
In a sensor network there are many paths between a source and a destination. An efficient method to explore and navigate in the `path space' can help many important routing primitives, in particular, multipath routing and resilient routing (when nodes or links can fail unexpectedly) as considered in this paper. Both problems are challenging for a general graph setting, especially if each node cannot...
Unreliable connectivity and rapidly changing link qualities make it challenging to establish stable addressing in wireless networks. This is especially difficult in communication scenarios where nodes determine their own addresses based on the underlying connectivity in the network. In this paper, we present Probabilistic ADdressing (PAD), a virtual coordinate based addressing mechanism that efficiently...
This paper presents Glossy, a novel flooding architecture for wireless sensor networks. Glossy exploits constructive interference of IEEE 802.15.4 symbols for fast network flooding and implicit time synchronization. We derive a timing requirement to make concurrent transmissions of the same packet interfere constructively, allowing a receiver to decode the packet even in the absence of capture effects...
Vehicle classification data, especially for trucks, is of considerable use to agencies involved in almost all aspects of transportation and pavement engineering. Current technologies for classification involve expensive installation and calibration procedures. A wireless sensor network (WSN) for vehicle classification based on axle count and spacing was designed, calibrated, tested, and deployed near...
Repeated exposures to psychological stress can lead to or worsen diseases of slow accumulation such as heart diseases and cancer. The main challenge in addressing the growing epidemic of stress is a lack of robust methods to measure a person's exposure to stress in the natural environment. Periodic self-reports collect only subjective aspects, often miss stress episodes, and impose significant burden...
In recent years, research of sensor networks has advanced rapidly. Sensor networks are anticipated for use in widely various fields such as product traceability systems, environmental monitoring, and health care. However, developers must develop applications to work in a sensor node and applications to produce sensor data. The knowledge that is necessary for development and acquisition of the programming...
We demonstrate how the communication reliability in a sensor network (end-to-end delivery ratio and network stability) can be improved by exploiting transceiver diversity. A new sensor platform, Opal, which features a dual radio configuration working in the 900 MHz and 2.4 GHz band, but driven by a single micro-controller is the basis of the demonstration. A new dual radio collection tree protocol...
EcoCast is an execution framework for macroprogramming of wireless sensor networks. Users access sensor nodes as dynamic objects in Python without being concerned with network protocols or data types. EcoCast extends Python's functional programming primitives map(), reduce(), and filter() to macroprogramming at native speed by patching the firmware transparently without rebooting, and without requiring...
Wireless Sensor Network applications require dependable platforms that deliver correct and reliable operation over long periods. However, application characterization and exact system requirements specification can be complicated due to unknown environmental factors and system limitations. In this demo abstract we present a new approach to design space exploration using a feature-rich system for facilitated...
We demonstrate a distributed scheme for control over wireless networks. In our previous work, we introduced the concept of a Wireless Control Network (WCN), where the network itself, with no centralized node, acts as the controller. In this demonstration, we show how the WCN can be utilized for distillation column control, a well-known process control problem. To illustrate the use of a WCN, we have...
The increasing complexity of software in implantable medical devices such as cardiac pacemakers and defibrillators accounts for over 40% of device recalls. Testing remains the principal means of verification in the medical device certification regime. Traditional software test generation techniques, where the tests are generated independently of the operational environment, are not effective as the...
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