The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We consider tracking of multiple objects using a wireless sensor network where distributed nodes transmit to a fusion center using random access. During an initialization phase, targets are identified on a discrete set of locations using a sparse identification method. Tracking then proceeds to update the target locations and amplitudes explicitly, using a gradient algorithm to solve the underlying...
In this paper we investigate the node placement for a wireless sensor network deployed to sense the spectrum with spatial channel correlation. The goal is to find the best node constellation, such that the given power constraints are satisfied and the best sensing performance is acquired. We derive the analytical expression for probability of detection (PD) of the optimal test statistic as the measure...
Motivated by applications of wireless sensor networks to seismic field monitoring, we propose a method that integrates in-situ lightweight temporal compression with random access communication and compressive sensing for recovery of spatially-sparse phenomena. This method of spatio-temporal compression offers savings in terms of energy consumption and bandwidth usage, does not require sensors to be...
The indoor localization method based on wireless sensor network is attractive, the problems concerning how to identify the signal propagation state in the complex indoor environment and how to mitigate the NLOS error are challenging. In this paper, we propose a novel NLOS localization method based on Tabu search. We firstly identify the propagation state based on Kalman frame. Then a Tabu search method...
Various control applications such as aerospace vehicles and automotive control systems can benefit from lower weight and cost. Replacing wired feedback control with wireless sensor and actuator networks (WiSAN) offers attractive features by improving upon the weight and cost problems, while posing new challenges due to the delayed noisy feedback links. Addressing these challenges requires modeling...
A novel approach involving selective channel signaling is proposed to achieve significant reductions in power requirements in OFDM. It is shown that by using only a subset of the available channels, savings in power can be achieved without sacrificing channel capacity.
A Wireless Bio-nanosensor Network (WB2N) is a collection of bio-nanodevices having applications in e-health. In this paper, we address the issue of catastrophic collision — a phenomenon which exhibits recurrent collisions of femtosecond-long pulse symbols emanating from the nanodevices in a WB2N. Such type of collision is very serious in these networks due to unique properties of the terahertz band...
The maturing field of Wireless Sensor Networks (WSN) results in long-lived deployments that produce large amounts of sensor data. Lightweight online on-mote processing may improve the usage of their limited resources, such as energy, by transmitting only unexpected sensor data (anomalies). We detect anomalies by analyzing sensor reading predictions from a linear model. We use Recursive Least Squares...
Wireless sensor networks (WSN) are one of the enabling technologies for the Internet of Things. Due to the restricted capability of sensor, the performance of WSN is sensitive to interference from nearby wireless devices utilizing the same band. The channel hopping technique is adopted by IEEE 802.15.4e standard to mitigate such adverse effect. In this paper we propose the Adaptive Time-slotted Channel...
In Wireless Sensor Networks (WSN), Node Localization is of great importance for location aware services. In this paper we propose the use of Time of Arrival (TOA) information with two popular machine learning algorithms M5 tree Model (M5P) and Sequential Minimal Optimization for Regression (SMOreg) for more accurate node localization in WSN. In this paper we also applied the same node localization...
USB3 devices use 5-Gbps signalling and the data spectrum can generate broadband noise in the 2.4-GHz ISM band. The noise can radiate from the USB3 connectors or cables and cause radio frequency interference (RFI) to a wireless receiver whose antenna is placed near a USB3 device. In this paper the root-cause for the radiation from USB3 receptacle connectors is presented. Simulation and measurement...
Cognitive communications has attracted a large interest during the last decade due to spectrum scarcity. In combination with multiantenna techniques, cognitive communications have the ability to increase spectral efficiency by enabling the coexistence of a primary and secondary systems. In this paper, we focus in two specific cognitive approaches: a) Multiantenna Interference Alignment (IA) and b)...
We propose a modified diffusion strategy for parameter estimation in sensor networks where nodes exchange information over fading wireless channels. We show that the effect of fading can be mitigated by incorporating local equalization coefficients into the diffusion process. We explain how the equalization coefficients are chosen and show that the (mean) stability of the network continues to be insensitive...
We address the distributed estimation of an unknown scalar parameter in Wireless Sensor Networks (WSNs). Sensor nodes transmit their noisy observations over multiple access channel to a Fusion Center (FC) that reconstructs the source parameter. The received signal is corrupted by noise and channel fading, so that the FC objective is to minimize the Mean-Square Error (MSE) of the estimate. In this...
Fluctuation enhanced sensing (FES) is a promising method to improve information extraction from noisy sensor signal especially in the rapidly growing field of semiconductor and nanotechnology gas sensors. Some attempts were made to support the application of the principle in low power, battery powered devices and partial results are available. In this paper we present a complete mixed-signal system...
Distributed learning-based localization algorithm for wireless sensor networks is studied in the paper. We partition the network into a number of partitions based on the sensor's locations and determine which class each sensor falls into. We consider a network with a number of beacon nodes that have perfect knowledge of its own coordinates and utilize their knowledge as training data to perform the...
This paper solves the problem of localization of mobile node in mixed line-of-sight/non-line-of-sight (LOS/NLOS) environments. To improve the localization accuracy, a parallel Kalman filtering algorithm is proposed to locate the robot mobile node. This algorithm consists of two steps: We firstly calculate the LOS/NLOS mode probabilities, then the proposed algorithm combines the estimation results...
Localization of nodes is very important in wireless sensor network. A localization algorithm is proposed based on TOF (time of flight) ranging and Unscented Kalman Filtering (UKF). Firstly, TOF ranging was selected to measure the distance between beacon nodes and unknown nodes. With the TOF data, the distance measurement was obtained and optimized, and an node localization method was achieved by using...
We consider distributed detection applications for a fusion center that has a limited time to collect, weight and fuse local decisions to produce a global decision in a wireless sensor network that uses a random access protocol. When this time is not long enough to collect decisions from all nodes in the network, a strategy is needed for collecting those with the highest reliability. This is accomplished...
Multi-Owner Wireless Sensor Networks are composed of devices used for different applications, each such application having its own Virtual Sensor Network. The different Virtual Networks must cooperate for multi-hop routing between nodes and for using each other's services. This report analyzes the applicability of a trust model for secure routing, µRacer, which can be used to handle various attacks...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.