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Despite the fact that cooperative localization approaches stand well in Wireless Sensor Networks (WSNs), they impose challenge of increased energy consumption resulting from the important communication overhead required to accomplish the localization task. In this paper, we developed an Energy Aware Cooperative Localization approach (EACL) based on using a recursive localization system. Obviously,...
To obtain a trade-off between location accuracy and implementation cost, recursive localization schemes are being pursued as a cost-effective alternative to more expensive localization approaches, where localization information increases progressively as new nodes compute their positions and become themselves reference nodes. A strategy is then required to control and maintain the distribution of...
The validity of sensed data that labels the change events plays the most important role in the accuracy and reliability of the Internet of Things (IoT)-based Wireless sensor network (WSN) applications to assure data quality for perfect decision making. In this study, we suggested and implemented a sensor data validation approach based on adaptive threshold for real-time IOT/WSN sensor node level....
Wireless Sensor Network (WSN) has recently emerged as a new widely used technology. However, the deployment of such networks has reported high rates of failures. Due to resource constraints of sensor nodes, the design of efficient failure detection techniques has become a very challenging issue. Already proposed WSN fault detection protocols have reported either a high number of false suspicions,...
RSSI gives an initial rough measure of the inter node distances at low cost without the need of additional equipment or complexity. This necessitates the need for a mechanism to obtain accurate node locations from the noisy distance estimates. Manifold learning techniques can be used for estimating locations, but their ability to localize node in the sensor network environment has not been benchmarked...
An accurate localization algorithm tailored for anisotropic wireless sensors networks (WSN)s is proposed in this paper. Using the proposed algorithm, each regular or position unaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making thereby...
The Weighted Center Localization (WCL), which is a classical localization scheme for the Wireless Sensor Network (WSN), can't decrease the average localization errors and the maximum errors simultaneously due to the fixed weight argument. Improving the localization accuracy of WCL is to decrease the distance measurement errors or to set a proper dynamic weight argument. We have already improved the...
In this paper, we propose a novel localization algorithm tailored for energy-harvesting wireless sensor networks EH-WSNs where both the power budgets available at the EH sensors and hence their transmission capabilities are random. This characteristic, if not taken into account when designing the localization algorithm, may severely hinder its accuracy. Assuming a random transmission capability at...
In this paper, we propose a novel range-free localization algorithm tailored for mobile wireless sensor networks (MWSN)s. In contrast to the most existing range- free algorithms, the nodes mobility is taken into accounts when designing our algorithm. We show that nodes are able to estimate their positions using solely their locally-available information, thereby avoiding any unnecessary overhead and...
In this paper, a novel localization algorithm tailored for underground mines is proposed. Using the proposed algorithm, each regular (i.e position-unaware) node estimates its distances to the anchor (i.e., position-aware) nodes exploiting only its locally available information. Furthermore, a new hop count adjustment scheme, which complies with the labyrinthic nature of underground mines, is developed...
Wireless location is one of the core technologies of Wireless Sensor Network. In many applications, the accuracy of the location is the precondition of the useful of data information the node collected. Under the premise of cost limits, improving the accuracy of wireless sensor node position has crucial significance. After analyzing reasons of the location weakness of Dv-Distance algorithm due to...
This paper presents a wearable digital stethoscope with wireless communication capability. The wireless stethoscope can be used for patient monitoring without limiting mobility. Digitized heart sounds were recorded and compared to those recorded by a wired stethoscope. Recordings were compared in the time domain by mean squared errors, in the frequency domain by spectral distribution, and in the time-frequency...
In this paper, we address a sparse signal reconstruction problem of nonlinear dynamic system in Wireless sensor networks (WSNs). A distributed reconstruction algorithm of sparse nonlinear signal is proposed based on sigma-point filter and consensus filter with embedded pseudo-measurement (PM) technology. For numerical accuracy, its square-root version is further developed. By embedding the PM equation,...
In order to solve the problem of poor localization accuracy of DV-Hop algorithm, an improved DV-Hop algorithm is proposed in this paper. The proposed algorithm is based on RSSI technology to modify the hop count between nodes. The concept of basic signal strength of node which will be used to modify hop count is proposed in this paper. The hop coefficient and hopsize coefficient are set up to modify...
In order to improve the issue about the low localization accuracy of unknown nodes, this paper proposes a kind of improved region segmentation localization algorithm. Under the precondition of building the mathematical model of region segmentation, the algorithm utilizes the ratio which the unknown node received signal strength from the beacon nodes comparing with the signal strength scale factor...
Localization accuracy with Ultra-Wideband (UWB) in Non-Line-of-Sight (NLOS) environments, which most commonly exist in indoor constructions, is much lower than that in Line-of-Sight (LOS) environments. In this paper, we propose a collaborative localization algorithm to improve the localization accuracy in NLOS environments by maximally utilizing the LOS links among nodes with unknown locations, and...
Considering the fact that each wireless senor node owns limited power in wireless sensor networks, a new type of distributed Kalman-consensus filtering algorithm based on event-driven is proposed for reducing energy consumption. This event-driven scheme is triggered by the updated covariance which is commonly used to describe errors between the true value and the estimated one. In this scheme, each...
Water pollution source detection is the precondition of water pollution source localization. In this paper, the source detection problems of the network and of the node in sensor networks are proposed. To solve the detection problems of both the static and dynamic pollution source, the hypothesis testing method is applied. In the method, the related binary hypotheses, test statistics and the specific...
Wireless sensor networks (WSNs) powered by energy harvesting is a promising technology for monitoring and diagnostic systems in smart grid. However, the limitation and instability of harvesting energy leads to the requirement of high energy-efficient time synchronization algorithms for WSNs. In this paper, in order to minimize the energy consumption, we propose an improved hybrid time synchronization...
Localization is a way to find the blind node's position through some anchor nodes whose positions are known before, which is the essential issue of wireless sensor networks (WSN). Among all the localization algorithms, maximum likelihood localization (ML) algorithm based on received signal strength (RSS) is more accurate than most of other algorithms. However, ML algorithm needs to compute conjugate...
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