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This paper proposes a modified hybrid method that combines Received Signal Strength (RSS) and Direction of Arrival (DOA) estimation based on MUSIC (Multiple Signal Classification) using circular antenna array. Simulation results are carried out to verify the improved performance obtained using the proposed hybrid method. This takes the form of successful detection of coherent signals at a higher accuracy...
Emerging Camera Sensor Networks (CSN) leverage the collaboration, processing and communication capabilities of modern cameras to handle a wide variety of security and safety-critical tasks, including target tracking. However, the performance of CSN in terms of tracking accuracy can be severely degraded when faults occur. Faults may be caused by unpredictable software errors (e.g., in the image processing,...
An indoor localization system in wireless sensor networks has become a hot development area. Received signal strength indicator (RSSI)-based localization is a promising technique since it requires a relatively low configuration, battery power and easy control. However, the received signal strength is influenced by channel interference and propagation environments. This characteristic affects channel...
This paper proposes high-scalable 3D indoor positioning algorithm in commercial smart-phone by combining two complementary technologies, Wi-Fi and sensor based positioning. Because a smartphone usually has low-grade MEMS sensor and heterogeneous Wi-Fi chipset, it's very difficult to achieve the globally bounded position in scalable indoor environment. Furthermore, the deployment of wireless infrastructure,...
This paper studies the Non-Line-Of-Sight condition mitigation issue in mobile subscriber positioning systems by weighting Time-Of-Arrival measures and applying geometrical restrictions. Particularly, this work departs from a more exact characterization of the signal statistics to achieve weighting factors able to reach a more effective mitigation, and consequently a more accurate mobile subscriber...
We analyse the use of a ΔΣ-modulator in the nodes of a wireless sensor network, which is a new method to achieve long term synchronization. We consider star topology WSNs (Wireless Sensor Networks) with a central base station and address timing synchronization using low frequency realtime clocks. The WSN uses a beacon driven TDMA-protocol for bidirectional node/base communication. Between the beacons,...
Impulse radio ultra-wideband (IR-UWB) ranging and localization have recently received significant attention due to the high accuracy and precision. This high accuracy can be exploited for many location aware applications in a wide variety of environments. Although most research efforts have focused on location-aware applications for indoor or outdoor environments, there are other environments, such...
This paper considers the problem of cooperative ocalization in mobile networks. In static networks, node locations can be obtained from pairwise distance measurements using the classical multidimensional scaling (MDS) approach. This paper introduces a modified MDS framework that also incorporates relative velocity measurements available in mobile networks. The proposed cost function is minimized via...
Indoor localization by means of GNSS or a cellular-based method is known to be difficult. Potentially, other wireless technologies could address the technical requirements, but they usually imply the end user must carry a device compatible with this additional technology too. In this paper we investigate the feasibility of collecting vibration sensor readings within a building to locate pedestrians...
The increasing popularity of wireless services led to increased deployment of wireless systems worldwide that operate in adjacent frequency bands. The national regulatory bodies need to address the potential issues of wireless systems mutual interference (either accidental or deliberate) and guarantee their stakeholders efficiently policed national spectrum usage. One of the cornerstones in this aspect...
Data collection by wireless sensor networks is a fundamental and critical function for cyber-physical systems (CPS) to estimate the state of the physical world. However, unstable network conditions impose great challenges in guaranteeing data accuracy, which is essential for reliable state estimation of the physical phenomena. For underlying sensor networks, without efficiently resolving congestion...
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...
The plug-in of nodes in already synchronized Wireless Sensor Network (WSN) can perturb the synchronization accuracy. In the case of the plug-in of one node, the consensus based synchronization algorithm permits to deploy the local interactions among nodes, and, as a consequence, to detect and ignore the Non Synchronized Node (NSN). In the case of multiple nodes, the detection of NSNs can be misstated...
The areas of positioning and tracking through Wireless Sensor Network (WSN) have received considerable attention recently driven by the requirement to obtain high positioning accuracy with minimum cost possible. A wide range of proposed approaches regarding the positioning area have emerged, however most of them suffer from either requiring an extra sensor, high power consumption, inaccessible indoors,...
For the health-care needs of the elderly people, a fall detection indoor positioning system based on CC2431 wireless positioning system and SCA3060 tri-axis accelerometer is designed in this paper. CC2431 location engine positioning algorithm is based on the RSSI values. The blind node will collect the RSSI value from both itself and the reference nodes and then locate the fallen elderly people by...
This paper presents a novel range-free geo-localization algorithm in wireless networks. The algorithm does not require ranging devices. It uses node connectivity to estimate the location of unknown (location unaware) nodes based on two or more anchor (location aware) nodes. The algorithm works in two steps. In the first step, the True Intersection Points (TIPs) that constitute the vertices of the...
Now a day the technological grow up motivated to researcher for 24∗7 facility without the physical support. To achieved such a parameters, scientist and laboratory person continuing the research into Ubiquitous computing that facilitate the anywhere anytime communication. To deploy the set up of Ubiquitous environments, we first need to deep analysis of pattern that followed the building then we established...
In this paper, we propose an approach for multiple target localization in wireless sensor network by employing the compressive sensing (CS) theory, which provides a novel framework for recovering the signal with far fewer sampling values than traditional methods, under the assumption that the signal is sparse. The sparsity in our localization approach is reflected by the location of targets, which...
To improve nodes localization accuracy for wireless sensor network (WSN), we propose an optimized selection localization algorithm based on fuzzy c-means (FCM). By cluster analysis, algorithm can figure out the distance data which are far more beyond their true value, and then removes those data. Each three beacon nodes are selected to form groups. The groups are selected based on the ranges between...
Computing Voronoi tessellations in an arbitrary number of dimensions is a computationally difficult task. This problem becomes exacerbated in distributed environments, such as Peer-to-Peer networks and Wireless networks, where Voronoi tessellations have useful applications. We present our Distributed Greedy Voronoi Heuristic, which approximates Voronoi tessellations in distributed environments. Our...
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