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.
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,...
This paper reports the power consumption and resource utilization of a trust and reputation model deployed in a wireless sensor network (WSN). The impact of sensor augmentation parameter for static and dynamic WSN with trust and reputation models has been examined. In particular, we present a novel WSN framework-based investigations on peer trust and linguistic fuzzy trust model (LFTM) for trust and...
Target tracking is one of the most important issues in wireless sensor networks (WSNs). In a densely deployed WSN, all sensors participating in the monitoring task can provide full coverage but consume their energies inefficiently. Some approaches pursue better network lifetime at the cost of tracking accuracy, while some other mechanisms aim to achieve the best tracking accuracy without consideration...
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...
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...
Dimensionality reduction techniques are convenient for data aggregation to reduce battery energy consumption in sensor nodes. Normally, principal component analysis (PCA), a dimensionality reduction technique, has been used for data aggregation in WSNs. However, PCA yields to data errors when the sensing data are not related. The PCA processing time is also an issue in an urgent situation that the...
Time synchronization provides an essential service for wireless sensor networks. In this paper, we present a new synchronization algorithm which is based on average time synchronization in two-way message exchanges. Firstly, the proposed algorithm does not rely on any reference (or root) nodes, therefore, is totally distributed, asynchronous, robust to node failure or changes of network topology....
There are boundary nodes and a certain number of the isolated nodes in the wireless sensor network. If conducting the effective judgment and processing over them, the positioning errors of the entire network will be reduced. Based on principles and approaches of the graphic theory, the boundary nodes and isolated nodes will be judged. Through an analysis on the node density and the range and direction...
In recent years, issues of Wireless Sensor Networks (WSNs) have been widely studied. The energy is limited in WSNs. However, it always takes much energy to achieve highly accurate time synchronization. In this paper, a Spanning Tree-based Energy-efficient Time Synchronization (STETS) strategy for WSNs is proposed. In STETS, only a small number of sensor nodes in the WSN have the privilege to send...
Sensor swarms can be a cost-effectieve and more privacy-friendly alternative for location based service systems in building automation and health-care. To increase the battery lifetime of such swarm networks, the energy consumption should be scaled to the required localization accuracy. In this paper we described the first steps in developing an energy model that couples localization accuracy to energy-related...
Wireless Sensor Networks (WSNs) typically aggregate sensed events into a sink by Continuous Monitoring (CM) or Event-Detection (ED). Cluster heads receiving and sending aggregated data have a difficulty in maintaining traditional cluster-based WSNs due to the energy hole problem, which leads to faster energy depletion around the sink. This paper shows how reporting frequency to the sink can be controlled...
For energy-based multi-source localization in wireless sensor networks (WSNs), multi-resolution search and expectation maximization algorithms are of either high energy consumption or low localization accuracy. In this paper, we propose a multi-source localization algorithm via sparse reconstruction based on fully distributed structure (MLSR-FD) in WSNs. The fully distributed structure is used to...
Recently there has been much focus on Wireless sensor networks (WSN). However Location information is one of the most important information in WSN. Many location estimation algorithms for WSNs have been used to determine the sensor nodes position. In this paper, two different localization algorithms using Trilateration and Multilateration mathematical techniques have studied and compared according...
Energy consumption remains the dominant limitation in most sensor networks. An outsized and growing body of literature has investigated the energy-efficiency problem. In general, energy is afforded either through preserving the already allocated energy sources such as batteries or super-capacitors; or through harvesting energy from the environment; or by utilizing both approaches. In this paper, we...
Wireless visual sensor networks (WVSN) have been developed as a directional types of sensor network with different challenges such as optimization of energy consumption. These networks provide more information than the other types of wireless sensor networks. The goal of this paper is to optimize the tradeoff between the energy consumption and the quality of the received data. For realization of this...
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...
Efficient object tracking in wireless sensor networks (WSNs) is of importance in many application scenarios such as military and surveillance, health monitoring, etc. In this paper, we propose a target tracking technique from two approaches, dynamic clustering and predictive tracking techniques. We use the Markov Decision Process (MDP) to predict the position of the tracked object over time or the...
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.