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The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For real-time epileptic seizure detection, wireless EEG sensors have been utilized for the purpose of data acquisition, pre-processing and transmission to the server side. The dilemma...
The hybrid localization system applications nowadays not only mitigate the inaccuracy of standalone RF localization approach, but also increase the reliability in the absence of supporting Radio Frequency (RF) infrastructure. One of the outstanding hybrid approaches is the Radio Frequency Identification(RFID) assisted inertial navigation system, which is notable for its low cost, simple implementation...
Recent developments in radio technology and processing systems, Wireless Sensor Networks (WSNs) are tremendously being used to perform an assortment of tasks from their atmosphere. Localization plays the most important task in WSNs. Accuracy is the one of the major problems facing localization. In this paper, we propose an improved localization algorithm based on the learning concept of support vector...
Localization of sensor nodes is an important aspect in Wireless Sensor Networks (WSNs). This paper presents an improved DV-hop localization algorithm which increases the accuracy of DV-hop algorithm without significant increase in the computational complexity. The first proposed algorithm utilizes K-means technique followed by node repositioning. The second proposed algorithm is also based on K-means...
Monitoring of the activities of daily living of the elderly at home is widely recognized as useful for detection of new or deteriorated health conditions. However, the accuracy of existing indoor location tracking systems remains unsatisfactory. The aim of this study was therefore to develop a localization system that can identify a patient's real-time location in a home environment with maximum estimation...
Localization is one of the challenges in achieving reliable communication in Wireless Sensor Networks (WSN). Estimating a sensor's node's position is known as Localization. Nonlinear version of Kalman filtering is known as the Extended Kalman Filter which deals with the case governed by the nonlinear stochastic differential equations, Extended kalman filter is nonlinear filter having their own problem...
Compressive sensing (CS) based techniques have been demonstrated to be suitable for UWB based applications to reduce the sampling rate required at the receiver. However, current CS based UWB positioning techniques require high-rate mixing operations to generate the PN sequence to achieve random mixing. This paper proposed a modified CS based implementation that employs relatively low-rate random pre-mixing...
In this paper, a novel timestamp-free synchronization algorithm is proposed where no dedicated timing messages are exchanged; the synchronization algorithm is embedded in the existing network messages. The proposed algorithm is intended for networks where many messages are transferred from the sensor to the central communication node, but only a few messages are transmitted from the central communication...
Wireless Sensor Network (WSN) is fixed in many sensing environments to capture and monitor events. The sensing values come from sensor device that may contain noise, missing values, and redundant features. Noise, missing values and redundant features should be removed from the streamed data using an efficient preprocessing mechanism and then preprocessed data can be provided for further processing...
Localization of sensors is one core technique in wireless sensor networks (WSN). A localization algorithm (BHLA) based on hops for large-scale wireless sensor networks is presented in the paper. In the BHLA algorithm, nodes are divided into anchor nodes and unknown nodes. Unknown node can communicate with the anchor nodes which are covered in this unknown node' communication range. Firstly, the distance...
Issues related to Wireless Sensor Networks (WSNs) are inseparable part of concerns in Big Data, due to they can provide a large amount of real-time data to the processing units. A service-oriented wireless sensor network aims to manage the procedure for data-provision by considering the term "service" as a user-specified requirement. In another words, it provides a user-friendly interface...
Data inaccuracy is an important problem in wireless sensor networks, since the accuracy is affected by harsh environments and malicious nodes. The reason for this data inaccuracy is the improper identification of outliers. To detect exact outliers in the wireless sensor networks, we propose the relative correlation based clustering (RCC) technique with high data accuracy and low computational overhead...
Aiming at the wireless sensor network (WSN) positioning of the centroid localization algorithm with the problem of inaccurate positioning, this paper proposes an improved weighted centroid localization algorithm based on RSSI. This algorithm regard the distance between the unknown node and the reference of anchor nodes as the weight in centroid localization algorithm, make full use of the unknown...
In order to improve the location accuracy in the complicated greenhouse environment, a positioning system is designed in this paper. According to RSSI data in the greenhouse, the parameters of the path-loss model are modified. Besides, least square estimation is used to filter RSSI data to eliminate random disturbance. Based on RSSI, the blind node is positioned by triangle centroid location method...
To get the accuracy of Wireless Sensor Networkboundary node localization and decrease error, this paperpresent an arithmetic on RSSI (Received Signal StrengthIndicator) weighting circulate localization. This arithmetic isbased on RSSI, combination of least squares estimate localizationalgorithm and weighted centroid circulation method. Thealgorithm firstly is introduced into threshold method forscreening...
Due to the complexity of the indoor environment, this paper proposes an adaptive ranging T-S model (ADRTS). The new model can be through self-learning to range and improve the ranging accuracy. The proposed method exploits the adaptive to range precisely under the changeable environments. Compared with the classical ranging model, the proposed model is with high accuracy under the indoor environment...
In traditional DV-Hop localization algorithm, the average estimation hop distance is greater influence for the distribution of beacon nodes, which causes high positioning error. A new algorithm is proposed to improve this disadvantage. The new improved algorithm uses the hyperbolic method to locate the unknown node position. This way eliminates the cumulative error and improves the positioning accuracy...
In the wireless sensor network (WSN), the operation reliability is usually evaluated by processing measured datas at network nodes. As the traditional algorithms exist the problems of the complex calculation and large energy consumption, a method for fault diagnosis of nodes in WSN based on rough set theory (RS) and support vector machine (SVM) is proposed in this paper. In this paper, we collect...
Wireless sensor networks (WSNs) are gaining popularity in practical monitoring and surveillance applications. Because of the limited energy of sensor nodes, many WSNs work in a low duty cycle mode to effectively extend their network lifetime. However, low duty cycling also decreases transmission efficiency and makes data gathering more challenging. By exploiting the redundancy of in real sensing data,...
A need often arises to precisely measure water and other liquids in many industrial and commercial places wirelessly. Along with water, other liquids may be measured by Noncontact method, detailed in this paper. Many measurement techniques for liquid such as float, pressure gauge, ultrasonic and radar are available. Cumulative error, which increases with time, and their cost are hindrance in adopting...
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