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Large scale underwater wireless sensor networks (UWSNs) have great applications in ocean exploration. The basic localization scheme is the recursive position estimation with hierarchical steps. To achieve accurate localization for each node and a rather high localization coverage, the localized nodes to be chosen as reference nodes are one of the critical steps. This paper proposed a new method to...
In WSN the process power of low power processors drastically increments, for the foremost half determined by requests of portable figuring. At the point when the expense of such innovation drops, WSNs can have the capability to manage the cost of equipment which may actualize a lot of refined information collection and trust appraisal calculations. The gathering of information from different sensor...
Localization is considered as an important parameter in wireless sensor network where it support the node to identify its location so that routing can take place in power efficient way in a dynamic network topology. The issue of localization has been addressed in many research areas such as vehicle navigation systems, virtual reality systems, user localization in wireless sensor networks (WSNs). The...
In this paper, we propose a novel method of solving the averaging problem for distributed Wireless Sensors Networks. This method is based on approximated histograms of measurements made by a sensor network. Our method uses a set of probabilistic counters and allows to find the approximation of the average of a set of measures done by sensor network with arbitrary, controlled by two parameters, precision...
Navigation is a challenging task for underwater devices, as there is no global navigation system available. This often restricted Autonomous Underwater Vehicles (AUV) in their operations, either spatially because they depend on reference markers that need to be deployed on the mission side, or by dive time as they need to surface regularly to geo-reference themselves via satellite. For most applications...
In this paper, we investigate the distortion outage minimization problem for a wireless sensor network (WSN) in the presence of an eavesdropper. The observation signals transmitted from the sensors to the fusion center (FC) are over-heard by the eavesdropper. Both the FC and the eavesdropper reconstruct minimum mean squared error (MMSE) estimates of the physical quantity observed. We address the problem...
The use of Wireless Sensor Networks to monitor the environmental parameters is on the rise. Wireless Sensor Networks can be employed in various applications ranging from personal health-care, indoor temperature monitoring to military theater. The data from each sensor is required to be collected at the central node for further processing. In spite of special designs and routing protocols for improving...
This paper studies algorithm design and analysis in time synchronization for wireless sensor networks (WSNs) with random bounded communication delays. A least square estimation based time synchronization (LSTS for short) algorithm is proposed. Mathematic modeling of the algorithm is presented. The LSTS algorithm ensures asymptotic convergence of drift estimations and boundedness of global time-synchronization...
In this paper, we are interested in localizing acoustic sources such as gunfire of Automatic Pistol (AP) and Kalashnikov AK-47 via the Imote2 wireless sensor node platform, using an array of four synchronized microphones connected to ITS400 sensor board of Imote2. More particularly, this work concerns the implementation of a localization algorithm based on the TDOA (Time Difference of Arrival) between...
This paper presents the development of a newly designed wireless piezoelectric (PZT) sensor platform for distributed active structure health monitoring (such as aircraft wings and bridges). The developed wireless PZT-sensor network features real-time data acquisition with high sampling rate up to 12.5MSPS (sample per second), distributed lamb-wave data processing and energy saving by reducing the...
Dealing with the whole dataset in big data estimation problems is usually unfeasible. A common solution then consists of dividing the data into several smaller sets, performing distributed Bayesian estimation and combining these partial estimates to obtain a global estimate. A major problem of this approach is the presence of a non-negligible bias in the partial estimators, due to the mismatch between...
In this paper, we analyze energy-harvesting adaptive diffusion networks for a distributed estimation problem. In order to wisely manage the available energy resources, we propose a scheme where a censoring algorithm is jointly applied over the diffusion strategy. An energy-aware variation of a diffusion algorithm is used, and a new way of measuring the relevance of the estimates in diffusion networks...
Localisation in wireless sensor network is the process of determining the geographical location of the sensor nodes. Conventional localization is space oriented which uses GPS (Global Positioning System) signal to obtain the location information of the nodes. But the GPS signals fail to work in indoor environments, the reason for which it becomes mandatory to opt for terrestrial localisation. The...
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...
Estimation of chlorophyll fixation is increasing more significance in assessing the timeline of the seawater ecosystem. For wide-areas monitoring a solid architecture of WSN (wireless sensors network) is needed. In this paper we propose a group of intelligent sensors, in view of reconfigurable wsn process of norms, for in common and in nonstop space-time observing of side of water levels, specifically...
This work examines the charging power allocation and beam selection problem for distributed estimation in wireless passive sensor networks, where the sensors are charged over the air by RF-enabled energy sources. A two-phase replenishment and transmission cycle is considered. In the replenishment phase, each wireless charger emits power over the air through a carefully selected beam and power to replenish...
Localization as a fundamental issue has a challenge in wireless sensor networks (WSNs). Many approaches have been proposed to solve the inaccurate node localization. Among range-free algorithms, DV-Hop (Distance Vector-hop) is a well-known localization algorithm that utilizes of hop-distance estimation to locate sensor nodes. This has lead positioning accuracy is limited. In this paper, an improved...
In many real life applications of WSN, to monitor a wide inaccessible area, a large number of sensor nodes are deployed randomly over the region. When an event occurs, to identify the affected area immediately, it is necessary that the data and the locations of the affected nodes are reported to the sink node with minimum latency. In this paper, for 2D region, using some light-weight distributed in-node...
The positioning technology is one of the most important technologies in the wireless sensor network. The paper describes the current international positioning on several existing technologies, including the based ranging RSSI, TOA, TDOA, etc. and non-centroid algorithm based on distance, Amorphous algorithm, APIT algorithm and so on. Dv_Hop algorithm is a distributed localization algorithm based on...
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