Due to lack of experimental data and sophisticated models derived from such data, most data processing algorithms from the sensor network literature are evaluated with data generated from simple parametric models. Unf...
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Due to lack of experimental data and sophisticated models derived from such data, most data processing algorithms from the sensor network literature are evaluated with data generated from simple parametric models. Unfortunately, the type of data input used in the evaluation often significantly affects the algorithm performance. Our case studies of a few widely-studied sensor network data processing algorithms demonstrated the need to evaluate algorithms with data across a range of parameters. In conclusion, we propose our synthetic data generation framework.
In recent years, there has been an increased need for surveillance capabilities in both civilian and military arenas. Mobile unmanned sensor fleets have long been envisioned as a tool for acquiring such intelligence. ...
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In recent years, there has been an increased need for surveillance capabilities in both civilian and military arenas. Mobile unmanned sensor fleets have long been envisioned as a tool for acquiring such intelligence. We describe a geolocation system as a payload for unmanned aerial vehicles. In particular, we address the issues that arise in designing an inexpensive, distributed, mobile, RF sensor processing system: low payload cost; power-limited components; real-time constraints; absence of common clocks; and varying environmental conditions. We also target, qualitatively, the tradeoff decisions across the dimensions of accuracy (of time of arrival estimates and the final geolocation), computational effort, physical dimensions, and operational logistics. The final system architecture, algorithms, and accuracy figures are also described.
Direction finding of nonstationary signals using an antenna array is of growing interest in. the signal processing community. We develop a time-frequency maximum likelihood method based on cross pseudo Wigner-Ville di...
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ISBN:
(纸本)0780386477
Direction finding of nonstationary signals using an antenna array is of growing interest in. the signal processing community. We develop a time-frequency maximum likelihood method based on cross pseudo Wigner-Ville distributions (PWVDs) between the array signal vector and the satellite sensor output to obtain the DOA estimates. Compared with methods based on STFD (spatial time-frequency distribution) matrices, the proposed method can make full use of the crossterm TFDs between sources, and signal selective direction finding can be realized with much simpler computation. Moreover, the proposed method can handle signals with the same time-frequency signature. Numerical simulations are provided to demonstrate the validity of the method.
Smart sensor Networks (S-nets) are groups of stationary agents (S-elements) which provide distributed sensing, computation, and communication in an environment. In order to integrate information from individual agents...
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Smart sensor Networks (S-nets) are groups of stationary agents (S-elements) which provide distributed sensing, computation, and communication in an environment. In order to integrate information from individual agents and to efficiently transmit this information to other agents, these devices must be able to create local groups (S-clusters). A leadership protocol that creates static clusters has been previously proposed. Here, we further develop this protocol to allow for dynamic cluster updating. This accommodates on-the-fly network re-organization in response to environmental disturbances or the gain or loss of S-elements. We outline an informal argument for the correctness of this revised protocol. We describe our embedded system implementation of the leadership protocol in simulation and using a colony of robots. Finally, we present results demonstrating both implementations.
The advance in intelligent vehicle systems (IVS) puts emphasis to vehicle-vehicle and vehicle-environment interactions. Sensing and sensory data interpretation play ever increasing role because sensing becomes the pri...
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The advance in intelligent vehicle systems (IVS) puts emphasis to vehicle-vehicle and vehicle-environment interactions. Sensing and sensory data interpretation play ever increasing role because sensing becomes the primary way of collecting information about the environment. In the IVS application domain the environment is unstructured, which results in demanding data interpretation and control algorithms. Similarly, the control and decision-making algorithms inevitably become more complex in order to be able to cope with the unstructured and dynamic environment. Consequently a sophisticated evaluation/test environment is required, which provides full control of the circumstances, reproducibility and flexible mix of real and virtual components. The paper presents the runtime architecture of the multi-agent based distributed HIL simulation environment (MARS), which assures scalable real-time performance and introduces an extension with high fidelity sensor simulation functionality.
We describe an algorithm and experimental work for vehicle detection using sensor node data. Both acoustic and magnetic signals are processed for vehicle detection. We propose a real-time vehicle detection algorithm c...
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We describe an algorithm and experimental work for vehicle detection using sensor node data. Both acoustic and magnetic signals are processed for vehicle detection. We propose a real-time vehicle detection algorithm called the adaptive threshold algorithm (ATA). The algorithm first computes the time-domain energy distribution curve and then slices the energy curve using a threshold updated adaptively by some decision states. Finally, the hard decision results from threshold slicing are passed to a finite-state machine, which makes the final vehicle detection decision. Real-time tests and offline simulations both demonstrate that the proposed algorithm is effective.
Sensing the state of the environment is an important source for context-aware applications. Several approaches exist to provide sensor information to mobile application nodes. As the extreme cases we have pure infrast...
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ISBN:
(纸本)0769519210
Sensing the state of the environment is an important source for context-aware applications. Several approaches exist to provide sensor information to mobile application nodes. As the extreme cases we have pure infrastructures and pure ad hoc networks. In order to allow sensor platforms to serve both of these approaches, we have designed a universal sensor platform and integrated it into an infrastructure-based approach as well as into ad hoc networks. In this paper we discuss the requirements on such a platform, the design, and the experiences.
Pervasive computing environments are characterized by an additional heterogeneity compared to existing computing infrastructures. Devices ranging from small embedded systems to full-fledged computers are connected via...
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ISBN:
(纸本)0769519210
Pervasive computing environments are characterized by an additional heterogeneity compared to existing computing infrastructures. Devices ranging from small embedded systems to full-fledged computers are connected via spontaneously formed networks. In this paper we analyze requirements of applications and system software to cope with the dynamically changing execution environment. Based on our micro-broker-based middleware BASE a component framework for pervasive computing supporting application adaptation is proposed.
Over the past 10 years, Thales Naval Nederland (TNN) has successfully applied a pure data-centric architecture called SPLICE in its naval Combat Management systems This fielded architecture provides the essential non-...
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ISBN:
(纸本)0769519210
Over the past 10 years, Thales Naval Nederland (TNN) has successfully applied a pure data-centric architecture called SPLICE in its naval Combat Management systems This fielded architecture provides the essential non-functional properties as demanded in these mission-critical environments such as (real-time) performance, scalability, fault-tolerance and evolve-ability. Thales recently contributed this knowledge and experience in a joint submission regarding the OMG's Data Distribution Service (DDS) for Real-time systems. The SPLICE architecture is characterized by autonomous applications with minimal dependencies where function and interaction are clearly separated and SPLICE-agents act as real-time information brokers. SPLICE thus offers a normalized environment that is designed once for all applications and which delivers 'the right information at the right place at the right time'.
With the MEMS revolution in full swing, microsensors are now following manufacturing curves that are at least related to Moore's Law. Combined with the push for low power communication and computation coming from ...
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With the MEMS revolution in full swing, microsensors are now following manufacturing curves that are at least related to Moore's Law. Combined with the push for low power communication and computation coming from the handheld community, this enables an exciting new field of low-cost, high-performance wireless sensor networks. This talk will address some of the practical and physical limits associated with miniaturization of wireless sensor networks.
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