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The optimal sensor selection for scalar state parameter estimation in wireless sensor networks is studied in the paper. A subset of N candidate sensing locations is selected to measure a state parameter and send the observation to a fusion center via wireless AWGN channel. In addition to selecting the optimal sensing location, the sensor type to be placed in these locations is selected from a pool...
Short-range wireless positioning and inertial measurement unit (IMU) have been widely used in indoor positioning systems. However, wireless signals fluctuate seriously and the accuracy of low-cost IMU system suffers from gyroscope drift, magnetic interference and accumulative error. In this paper, we propose a fusion positioning system based on Wireless signal, Map information and Inertial sensors,...
In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both...
In this papers we address the optimal power allocation problem in a distributed passive radar sensor network system, where closely located nodes are capable of distributed beamforming. In this setup, the network of sensor nodes is viewed as a combination of node clusters, where each cluster is capable of time synchronization, and coordinated transmission. The goal of the network is to provide a reliable...
Multi-channel access and spectrum agility represent significant challenges to temporal occupancy modelling for compliance enforcement of individual users/networks in opportunistic spectrum access (OSA) scenarios. In previous work, temporal occupancy estimation within spectrum bands was examined, when there was no requirement to track individual user/network behaviors. This approach was in line with...
Wireless sensor networks (WSN) are core components of the Internet of Things paradigm. By applying techniques such as sensor virtualization, the wireless sensor network infrastructure can be shared by a set of applications. On such scenario, the massive amount of data produced by the widely spread sensors produces a value-added information for the end user. By sharing the same infrastructure with...
Industrial wireless sensor networks (IWSNs) have become popular, given the lower cost of installation than wired networks and their flexibility. WSNs are applied in monitoring, measurement, and control. Nuclear power plants (NPPs), in particular, have not been eager to adopt WSNs due to reliability, electromagnetic and radio frequency interference (EMI/RFI) as well as security concerns. On the other...
Wireless Sensor Networks (WSNs) are becoming fundamental components of modern control systems. Although WSNs provide tremendous advantages in versatility, their use poses new issues in the design of the control system, in particular the discharge of batteries of sensor nodes, which is mainly due to radio communications, must be taken into account. In a previous work, for the case of a single wireless...
In this paper, a multiscale approach to spectrum sensing in cognitive cellular networks is analyzed. Observing that wireless interference decays with distance, and that estimating the entire spectrum occupancy across the network entails substantial energy cost and communication overhead, a protocol for distributed spectrum estimation is defined by which secondary users maintain fine-grained estimates...
Level set estimation (LSE) is the process of using noisy observations of an unknown function to estimate the region(s) where the function values lie above a given threshold. It has a wide range of applications in many scientific and engineering areas, such as spectrum sensing or environment monitoring. In this paper, we study the optimum LSE of a time-varying random field under a total power constraint...
We consider a wireless sensor network (WSN) where each sensor node samples a random signal, places the digitized data in a buffer, and transmits the data to an access point (AP) through a wireless packet erasure communication link. The AP communicates the data to a processing center (PC) located in the cloud. Our objective is to maximize the delivery of raw data to the cloud for post- processing given...
Passive source localization is an important area of research. In this paper, a received signal strength difference (RSSD) based localization technique is presented for wireless sensor networks. The advantage of this solution is that the transmit power does not have to be known. It is an effective low complexity technique as it eliminates the transmit power estimation required with other approaches...
Real-time location systems (RTLS) for persons and objects are gaining high interest for consumer and industrial applications. Information about position allows the creation of intelligent context, which enables a great variety of value-added or even new services. There is no one localization technology that fits all application scenarios. But the unique aspects of ultra-wide band (UWB) make it a very...
Channel sounding is generally conducted under the assumption that the wireless channel is free from interfering signals, i.e., in clear channels. As regulators begin to deploy new services in spectrum that is already occupied by other services, channel sounding must often be conducted in occupied channels with all the obvious attendant difficulties. Here, we propose alternative sense-decide-act strategies...
This paper studies the stability of state estimation for a discrete-time linear stochastic system, the states of which are measured by multiple sensors and transmitted over multiple wireless channels. Random packet loss process introduced by each wireless channel is modeled by an independent and identically distributed (i.i.d.) Bernoulli process. The estimation strategy designed in this paper is based...
Lately, a range of applications of the LBS(Location Based Service) is being extended to indoor position estimation. This investment is caused by a huge expectation about the bright prospect of indoor LBS market, including mobile advertisement. Indoor position estimation is now being studied with various methods. Among them, the central field of indoor estimation method by using smart-mobile sensors...
Dynamic spectrum access with Cognitive Radio (CR) network is a promising approach to increase the efficiency of spectrum usage. To allow the optimization of resource allocation and transmission adaptation techniques, each CR terminal needs to acquire awareness of the state of the time-frequency-location varying radio spectrum. In this paper we present a Spectrum Cartography (SC) approach where CR...
Ultra high resolution display environments have highly efficiency for displaying high definition multimedia content. Tiled display wall (TDW) wall environment is a typical ultra high definition display environment, they use a traditional mouse in order to interact with user of application on display space, and this might to be caused of interaction burden for the user. We developed an intuitive input...
Recently, wireless sensing nodes are being integrated with ambient energy harvesting capability to overcome limited battery power budget constraint and extending effective operational time of sensor network. Solar panels are more frequently used to collect light energy for wireless sensing node. In order to efficiently utilize solar harvested energy in design, precise solar harvested energy prediction...
A new ultra-low power (ULP) wireless sensor network (WSN) structure is proposed to monitor the vibration properties of civil structures, such as buildings and bridges. The new scheme integrates energy harvesting, data sensing, and wireless communication into a unified process, and it is fundamentally different from all the existing WSNs. In the new WSN, piezoelectric sensors are employed to harvest...
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