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Carbon Dioxide gas (CO2) gas contained in our air which has many roles in environment, but in a huge amount it became dangerous. To encounter that, the system for CO2 monitoring is needed. One of the most effective way is using Wireless Sensor Network (WSN). This system capable to monitor concentration of CO2 and another variable using sensor nodes. But not all of that parameters is correlated to...
This paper proposes a sensor node localization scheme for wearable sensor network system deployed on a flexible waveguide medium. The scheme exploits changes in waveguide characteristics due to a deformation of the wearable waveguide caused by user's motion, rather than combating with it. We propose to use passive radio frequency identification (RFID) tags embedded in the waveguide for reference of...
In this paper, we propose an algorithm for sensor node deployment on a 2-D obstructed Wireless Sensor Network (WSN). Our algorithm is based on Received Signal Strength Indicator (RSSI) and exploits the concept of frequency diversity. We start by analyzing the correlation between the power dissipation derived through our power estimation model and the RSSI received from the sensor nodes. We generate...
Compressed Sensing (CS) has been successfully applied within Wireless Sensors Networks (WSN). We consider the problem of data recovery from a subset of few sensor readings collection at a fusion center in the case of spatially correlated large WSN. We exploit the data spatial correlation to derive a sparse representation of the signal and consider 1-D reading of the WSN. To this end, we propose a...
Collaborative detection for continuously-varying event-region scenarios using wireless sensor networks (WSNs) has attracted much attention recently. However, most existing works adopt either a centralized approach, in which a powerful control center is used to reconstruct the entire random field, or a semi-centralized approach, in which extensive data exchange takes place among the sensors by means...
The correlation structure among the sensor observations is a significant characteristic of the wireless sensor network (WSN) which can be exploited to drastically enhance the overall network performance. This structure is usually expressed as a low-rank approximation of the correlation matrix, although, in many cases the correlation of the captured data is full-rank. Thus, the computation of the full-rank...
Security protocols have been commonly used to protect secure communication in networked systems. It is often assumed that individual wireless nodes or leaders in a system are sincere and use techniques (authentication, permission, etc.) of these protocols to have secure communications. We discover that such protocols may be leaked by a sophisticated collusion attack (a type of attacks in which a node...
Sensor networks are a collection of sensor nodes that co-operatively transmit sensed data to a base station. One of the well-known characteristics of Wireless Sensor Networks (WSNs) is its limited resources. Energy consumption of the network's nodes is considered one of the major challenges faced by researchers nowadays. On the other hand, data aggregation helps in reducing the redundant data transferred...
Wireless Sensor Networks (WSN) comprises of tiny wireless sensor nodes installed in the terrain for continuous observation of physical or environmental conditions. Finding data trustworthiness is a prime pre-processing action in WSN because of harsh environment producing faulty data and insecure data transfer over WSN. The trustworthy of the data generated from sensor nodes play an important role...
In today's Wireless Sensor Networks, energy efficiency is the key interest as these sensors are small in size and have no refillable battery. These sensors are deployed to accomplish various tasks e.g. to measure the environmental attributes such as temperature, humidity, pollution level of sea water; to monitor some ongoing activities such as surveillance, tracking of suspects; and etc. Also their...
The time delay estimation of the TDOA is signification in passive source localization systems, and the estimation accuracy may directly affect the source location performance. We address the problem of passive blind estimation of time-delay for uncorrelated co-frequency interference source signal based on wireless sensor network (WSN). The received mixtures are modeled as unknown linear combinations...
Sensor clustering is an efficient strategy to reduce the number of messages flowing in a Wireless Sensor Network (WSN), decreasing, this way, the energy consumption in the network. This paper presents two new approaches for sensors clustering in WSNs, namely Fractal Clustering in Wireless Sensor Networks (FCWSN) and Similarity Measure in Wireless Sensor Networks (SMWSN). Both approaches are based...
In this paper, we propose a data aware method to perform Quality of Experience (QoE) and/or Quality of Service (QoS) management. A data-aware QoE model is built based on Principle Component Analysis (PCA). Three main types of QoE-QoS management (optimal QoE management, optimal QoS management and QoE-QoS balance management) are discussed based on the proposed scheme. A QoE-QoS unified optimization...
Human daily activity recognition using mobile personal sensing technology plays a central role in the field of pervasive healthcare. One major challenge lies in the inherent complexity of human body movements and the ECG signals. To tackle this problem, in this paper, we present a human activity recognition and ECG based on SHIMMERTM Wireless sensor platform. We are developing ubiquitous system for...
We present an adaptive data aggregative window function (A-DAWF) for a distributed sensor network model in which nodes store data in their attribute window functions, and provide non-correlated data towards the base station (BS). Unlike previous works, namely data collection or data gathering management systems, we propose a novel approach that aims to process temporal redundant techniques in sensor...
Redundant data transmissions are likely to happen repeatedly inWireless Sensor Networks (WSNs). According to the literature survey, energy-efficiency predominately relies on data aggregation rather than routing or duty-cycling approaches. As data redundancy dominates the power usage in communication costs, in order to identify and reduce the redundant data transmissions by individual nodes, we propose...
An effective way to reduce the energy consumption of energy constrained wireless sensor networks is reducing the number of collected data, which causes the recovery problem. In this paper, we propose a novel data recovery method based on low-rank tensors for the heterogeneous wireless sensor networks with various sensor types. The proposed method represents the collected high-dimensional data as low-rank...
Signal classification plays an important role in spectrum sensing for cognitive radios to identify and avoid interference from other wireless devices. In this paper, we study a network of cognitive radios that jointly perform signal classification via cooperation. We propose a simple but effective linear cooperation scheme to fuse pre-processed measurements collected from spatially distributed cognitive...
The concurrent deployment of heterogeneous wireless networks such as Wi-Fi, Bluetooth, and ZigBee has led to the severe interference problems in the 2.4GHz ISM band. In particular, ZigBee networks are susceptible to the interferences from other wireless technologies; For example, strong Wi-Fi signals trigger false alarms to ZigBee device that is performing low power idle listening and cause appreciable...
In this paper, we proposed a novel matrix completion algorithm in Wireless Sensor Networks. Our contribution is twofold. First, we propose a general formulation of the problem of data gathering as a tractable convex optimization problem on the Hilbert space of data measurement matrices. The proposed criterion takes full advantage of both the global features, particularly low rank nature of data, and...
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