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Link correlation in wireless sensor networks has recently attracted a considerable amount of attention in the research community. Various pioneer works have empirically demonstrated the existence of link correlations and designed novel network protocols to exploit such link correlations. While all existing works focus on the correlated receptions at multiple receivers from a single sender, in this...
In this paper, we study the received signal strength (RSS) based localization problem with correlated shadowing between pairs of RSS measurements. By linearizing the correlated RSS model, a weighted least squares (WLS) is formulated to obtain the target location. We also study the correlated shadowing when differential received signal strength (DRSS) is deployed as measurements. Numerical simulations...
In wireless sensor networks (WSNs), power-conserving MAC design is vitally important for sensors which use a power source from a fixed utility or manual battery recharging. In this paper, we propose an energy-efficient sensor selection algorithm with two-hop cooperating transmission, which minimizes the total energy consumption of WSNs by exploiting spatial correlation between sensors without compromising...
Gait analysis is considered as an important process which has been wildly adopted in many clinical applications to identify and quantify the lower body functioning impairment of hémiplégie patients. On contrary to the traditional measures which were based on manual observation, numerous researches in recent years have been carried out on utilizing modern assistive devices to analyze gait pattern and...
According to increase of multimedia applications such as video surveillance and environment monitoring in Wireless Multimedia Sensor Networks (WMSN), energy conservation and prolonging network lifetime become increasingly important. Therefore, energy conservation and maximization of system lifetime are commonly recognized as a key challenge in the design and implementation of WMSNs. In these networks,...
Medical sensor networks have facilitated a wide range of applications in healthcare. However, these systems are in particular vulnerable to security attacks due to the fact that they are often not physically secured and are used in potentially hostile environments. We have proposed a theoretical and statistical framework for creating attacks and also the corresponding security defenses that include...
Environmental sensing exposes sensor nodes to environmental stresses that can lead to various kinds of sampling failure. Recognising such faults in the network can improve data reliability therefore making sensor networks suitable candidate for critical monitoring applications. We develop a technique that builds a spatial model of a sensor network and its observations, and show how this can be updated...
This paper proposes an iterative frequency offset estimation scheme for wireless sensor networks with direct-sequence spread spectrum. The proposed scheme is able to estimate large frequency offset that may occur at the receiver on devices with a sensor by iterating singular value decomposition (SVD)-based frequency offset estimation. In the proposed estimation scheme, a decorrelator is inserted in...
The constrained capacity of wireless sensor nodes and harsh, unattended deploy environments make the data collected by sensor nodes usually unreliable. We have proposed a count-min sketch based anomaly detection scheme with the goal of detecting the anomaly data values in WSN. In this paper, we analyze the performance of the proposed scheme thoroughly. We show through experiments with real sensed...
Shadowing losses on proximate wireless links have been experimentally proven to be highly correlated in various scenarios. However, most of the existing works on the reliability modeling of Wireless Multi-Hop Networks (WMHNs) assume independent link shadowing. Neglecting shadowing correlations could lead to inaccurate network simulation results and unreliable wireless system design. In this paper,...
In this paper we study the problem of distributed estimation of a random vector in wireless sensor networks (WSN) with linear observation model. Each sensor makes a noisy observation, quantizes its observation, maps it to a digitally modulated symbol, and transmits the symbol over erroneous wireless channels (subject to fading and noise) to a fusion center (FC), which is tasked with fusing the received...
A Wireless Body Area Network (WBAN) based 3-lead cableless electrocardiography (ECG) acquisition system is described. To enable truly cableless ECG monitoring, a new ECG measurement configuration and method that acquires ECG signals at individual lead locations referenced to a localized ground is proposed. The synthesized ECG signals are evaluated against the standard wired 3-lead configuration on...
Coverage is an important performance metric in wireless sensor networks, which reflects how well a sensor field is monitored by the deployed sensors. This paper studies the sensor placement problem for ensuring network coverage. Instead of using the simplistic disk coverage model, we adopt our recently proposed confident information coverage model for field attribute monitoring applications. The sensor...
Network lifetime improvement of multi-hop wireless sensor networks is a challenging problem. In fact, the network lifetime can be extended by energy saving techniques such as energy-efficient protocols. However, one of the most promising research directions to overcome the network lifetime problem is the compression. Indeed, compression consists in minimizing the size of packets transmitted by the...
We revisit the problem of data redundancy in Wireless Sensor Networks (WSNs) from a Collaborative Signal and Information Processing (CSIP) perspective. We propose an Information Processing and Communication Reduction (IPCR) scheme that utilizes spectrum sensing to detect and eliminate data redundancy. IPCR adapts its functionality according to data-space correlations and is independent of spatial...
Sensor data collection through clustering mechanisms has become a common strategy in Wireless Sensor Networks (WSN). Usually in WSNs the clusters are formed dynamically and repeatedly to get uniform utilization of energy. It has been seen in many large scale dynamic cluster based WSNs that the sizes of clusters, in terms of number of nodes, show high variance. This affects the data aggregation mechanism...
Data aggregation is an efficient way to prolong the lifetime of wireless sensor networks (WSNs) by reducing communication traffic. However, sensor nodes are usually deployed in harsh or hostile environments. They are easy to be malfunctioning or become compromised nodes, which makes the sensor data unreliable and affects the accuracy of data aggregation. This paper proposes a secure data aggregation...
Considering the fact that the wireless sensor networks (WSNs) need to maintain a long lifetime, there is a great demand to decrease energy dissipation of the sensor. Data compression is an efficient method to solve the problem. This paper proposes a practical and efficient data compression algorithm with high compression and noise-resisted features, in which the quasi-cyclic low-density parity-check...
Due to deployment of inflated amount of sensor nodes in three dimensional space, observed data are highly correlated among sensor nodes. Since the data are highly correlated, it produces large quantity of redundant data in the network. To reduce data redundancy, we propose a clustering algorithm called Three Dimensional Event based Spatially Correlated Clustering (3D-ESCC) algorithm. Moreover, to...
In wireless sensor networks, this paper puts forward a distributed fault detection algorithm to solve the node failure problems. It takes into account the spatial correlation of network node, based on the way of weighted distance, compares its own reading with the weighted value to judge the fault node. Finally, the feasibility and effectiveness of the algorithm is demonstrated via computer simulation...
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