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The paper proposes a fast multi-target detection technique based on simultaneous sensor data fusion for a binary wireless sensor network in a pre-deployed configuration. The synchronous binary sensors are circularly arranged in an area with the sink node on the central axis such that the line-of-sight communication dominates. All the binary sensors employed for detecting rapidly changing targets are...
In this paper, a new distributed least-squares algorithm is proposed to solve the sensor fusion problem in using wireless sensor networks (WSN) to monitor the behaviors of large-scale multiagent systems. Under the assumption that each sensor can take the measurements of a limited number of agents but the complete multiagent systems are covered under the union of all sensors in the network, the proposed...
GPS based location technologies can achieve high accuracy on meter level in outdoor environments, however, it cannot obtain high level position accuracy in the indoor environment. Therefore, in this paper, we propose a novel WIFI indoor location optimization approach based on position fingerprint algorithm. Each fingerprint contains a set of intensity values of the detected WAPs, and then it is defined...
This work examines a cross-layered caching problem for distributed estimation in wireless sensor networks (WSNs). In WSNs, large amounts of data are produced continuously over time, and storing all the data collected from the sensors can be costly. In distributed estimation applications, sensors first gather information about a common phenomenon, and then forward the information to a fusion center...
Disaster detection is an important research topic and draws great attentions from both industry and academia. In this paper, we study the hybrid landslide detection system, which utilizes the video surveillance camera and multiple kinds of sensors and can detect the landslide automatically. Edge processing is adopted in this hybrid system to fuse the sensor data based on the Dempster-Shafer (D-S)...
Distributed image fusion over networks has had little coverage in the literature, particularly considering the recent emergence of large networks of imaging sensors such as radio telescope arrays and wireless self-contained node networks. We present a fully asynchronous and distributed approach for image fusion in a general network with partially overlapping node fields of view. We use the example...
The objective of the work is to reduce energy consumption in cooperative spectrum sensing by determining the detection threshold and by selecting the sensing nodes that participate in spectrum sensing while maintaining the constraints on detection performance. The energy detection system is used for signal detection from that detection threshold is obtained. For sensing node selection, joint optimization...
Target tracking is one of the broad applications of underwater wireless sensor networks (UWSNs). Sensors of UWSNs are battery-powered and it is impracticable to replace the batteries when exhausted. That means the batteries life affecting the lifetime of whole networks. So, it is worth reducing the energy consumption on the premise of satisfactory tracking accuracy. This paper proposes an energy-efficient...
High density of sensors in Wireless Sensor Networks (WSN) causes sensor observations to be highly correlated in space and time domain. Measurements received at sensors can be characterized by multivariate distribution. Fusion of Statistically Dependent observations in WSN has become a major concern. An approach addressing fusion of dependent data in a WSN environment is done for two sensor design...
This paper studies wireless sensor networks with energy harvesting in which a transmitter collects the observed source signals from the sensors and send to a fusion center using the energy harvested from an ambient environment. The main objective is to minimize the distortion between the source signal observed by the sensors and that recovered by the fusion center. We introduce a novel adaptive transmission...
A novel sensor fusion approach between a wireless Ultra-Wideband (UWB) Indoor Positioning System (IPS) and an Inertial Navigation System (INS) is presented for real-time indoor navigation and tracking of Automated Guided Vehicles (AGVs) and Mobile Robots in factories and warehouses. AGV applications are particularly challenging since they require very low position errors and very high position update...
Event-driven wireless sensor networks are special networks that just need the sensors which detected the events gathering and sending data through a reasonable routing to the single information processing center called sink node, usually used in monitoring emergency events in many large-scale severe environments. However, the battery energy of sensors are limited and difficult to be charged or replaced,...
In this paper, we consider the distributed classification of discrete random signals in wireless sensor networks (WSNs). Observing the same random signal makes sensors' observations conditionally dependent which complicates the design of distributed classification systems. In the literature, this dependence has been ignored for simplicity although this may significantly affect the performance of the...
Monitoring large areas, critical infrastructure systems and surveillance operations require the design of advanced embedded systems which cooperate for achieving mission objectives within a decision support framework. As fundamental building blocks of this new paradigm, we focus on the integration at the communication and data processing levels of wireless sensor networks with unmanned aerial vehicles...
This paper describes a technological development project in charge of collecting and relaying data using UAVs (Unmanned Aerial Vehicles) from one or more small, low power, modular sensor nodes that can be placed in remote areas or floating on the water surface. The overall characteristics and architecture of the proposed sensor nodes and system around them are described. Field tests for one custom-built...
Function computation over wireless sensor networks is investigated, where K sensors measure their observations and a fusion center wishes to estimate a pre-defined function of the observations via fading multiple access channels (MACs). The arithmetic sum and type functions are considered since they yield various fundamental sample statistics such as mean, variance, maximum, minimum, etc. We propose...
Monitoring of the activities of daily living of the elderly at home is widely recognized as useful for detection of new or deteriorated health conditions. However, the accuracy of existing indoor location tracking systems remains unsatisfactory. The aim of this study was therefore to develop a localization system that can identify a patient's real-time location in a home environment with maximum estimation...
Due to the limited energy of the nodes in opportunistic sensor networks, and connectivity parameters in the process of collecting, processing, transmission have the features of information redundancy, this paper proposed DFMW (Data Fusion Mechanism based on Wavelet for Opportunistic Sensor Networks). DFMW, compresses the parameters by HFCSA (High Frequency Coefficients Selected Algorithm), which excludes...
Distributed estimation is examined for energy-harvesting wireless sensor networks, where the energy available at the sensors are converted entirely from ambient sources. Here, each sensor takes a local measurement of the common parameter of interest and, by adopting an analog-forwarding transmission strategy, forwards a scaled version of it to the fusion center. A sensor transmits in a given time...
In the existing approaches to Bayesian quickest change detection under energy constraints, the consumed energy is formulated as the number of observations and the communication channels between the sensors and the fusion center are assumed to be perfect, which are not quite realistic. We consider the correlated wireless fading channels and the associated packet loss probabilities depend on both time-varying...
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