The Experts below are selected from a list of 16923 Experts worldwide ranked by ideXlab platform
Joel J P C Rodrigues - One of the best experts on this subject based on the ideXlab platform.
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a collaborative secure localization algorithm based on trust model in underwater wireless sensor networks
Sensors, 2016Co-Authors: Guangjie Han, Li Liu, Jinfang Jiang, Lei Shu, Joel J P C RodriguesAbstract:Localization is one of the hottest research topics in Underwater Wireless Sensor Networks (UWSNs), since many important applications of UWSNs, e.g., event sensing, target tracking and monitoring, require location information of sensor Nodes. Nowadays, a large number of localization algorithms have been proposed for UWSNs. How to improve location accuracy are well studied. However, few of them take location reliability or security into consideration. In this paper, we propose a Collaborative Secure Localization algorithm based on Trust model (CSLT) for UWSNs to ensure location security. Based on the trust model, the secure localization process can be divided into the following five sub-processes: trust evaluation of anchor Nodes, initial localization of unknown Nodes, trust evaluation of Reference Nodes, selection of Reference Node, and secondary localization of unknown Node. Simulation results demonstrate that the proposed CSLT algorithm performs better than the compared related works in terms of location security, average localization accuracy and localization ratio.
V K Bhargava - One of the best experts on this subject based on the ideXlab platform.
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rss localization under gaussian distributed path loss exponent model
IEEE Wireless Communications Letters, 2021Co-Authors: K Surya Vara N R Prasad, V K BhargavaAbstract:We consider localization from the received signal strength (RSS) when the transmit power and the log-distance pathloss exponent (PLE) are unknown. The unknown transmit power problem is handled by working with the difference of RSS (DRSS) from a Reference Node. The unknown PLE is statistically modelled as a Gaussian distributed random variable. A maximum-likelihood estimation procedure is firstly proposed to obtain the ratio-of-distances in closed-form. Next, in order to obtain the source location from the ratio-of-distance estimates, we propose a two-step linear least squares (TLLS) estimator which exploits the known relation between the source coordinates and the range variable. Finally, we propose a maximum-a-posteriori (MAP) estimator which jointly estimates the source location and the PLE by maximizing the posterior likelihood of the DRSS values, given the distribution of the PLE. Numerical studies validate the improved localization accuracy of the proposed estimators over the state-of-the-art.
Paulo Flores - One of the best experts on this subject based on the ideXlab platform.
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nonlinear dynamics and chaotic control of a flexible multibody system with uncertain joint clearance
Nonlinear Dynamics, 2016Co-Authors: Zhe Wang, Qiang Tian, Paulo FloresAbstract:The nonlinear dynamics of a flexible multibody system with interval clearance size in a revolute joint is investigated in this work. The system is modeled by using a unified mesh of absolute nodal coordinate formulation (ANCF), that is, the flexible parts are meshed via the finite elements of the ANCF and the rigid parts are described via the ANCF Reference Nodes (ANCF-RNs). The kinetic models of all revolute joints are formulated by using ANCF Reference Node (ANCF-RN) coordinates. The influence of the Lund-Grenoble and the modified Coulomb’s friction models on the system dynamics is comparatively studied. The Chebyshev tensor product sampling method is used to generate the samples of the interval clearance size. With the purpose to maintain the continuous contact of the clearance joint, a modified extended delayed feedback control (EDFC) is used to stabilize the chaotic motion of the flexible multibody system. Finally, the dynamics of a planar slider–crank mechanism with interval clearance size in a revolute joint is studied, as a benchmark example, to check the effectiveness of the presented computation method and the modified EDFC.
Guangjie Han - One of the best experts on this subject based on the ideXlab platform.
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a collaborative secure localization algorithm based on trust model in underwater wireless sensor networks
Sensors, 2016Co-Authors: Guangjie Han, Li Liu, Jinfang Jiang, Lei Shu, Joel J P C RodriguesAbstract:Localization is one of the hottest research topics in Underwater Wireless Sensor Networks (UWSNs), since many important applications of UWSNs, e.g., event sensing, target tracking and monitoring, require location information of sensor Nodes. Nowadays, a large number of localization algorithms have been proposed for UWSNs. How to improve location accuracy are well studied. However, few of them take location reliability or security into consideration. In this paper, we propose a Collaborative Secure Localization algorithm based on Trust model (CSLT) for UWSNs to ensure location security. Based on the trust model, the secure localization process can be divided into the following five sub-processes: trust evaluation of anchor Nodes, initial localization of unknown Nodes, trust evaluation of Reference Nodes, selection of Reference Node, and secondary localization of unknown Node. Simulation results demonstrate that the proposed CSLT algorithm performs better than the compared related works in terms of location security, average localization accuracy and localization ratio.
Pei Xiao - One of the best experts on this subject based on the ideXlab platform.
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the error propagation analysis of the received signal strength based simultaneous localization and tracking in wireless sensor networks
IEEE Transactions on Information Theory, 2017Co-Authors: Bingpeng Zhou, Qingchun Chen, Pei XiaoAbstract:Simultaneous localization and tracking (SLAT) in wireless sensor networks (WSNs) involves tracking the mobile target while calibrating the nearby sensor Node locations. In practice, localization error propagation (EP) phenomenon will arise, due to the existence of the latest tracking error, target mobility, measurement error, and Reference Node location errors. In this case, the SLAT performance limits are crucial for the SLAT algorithm design and WSN deployment, and the study of localization EP principle is desirable. In this paper, we focus on the EP issues for the received signal strength-based SLAT scheme, where the measurement accuracy is assumed to be spatial-temporal-domain doubly random due to the target mobility, environment dynamics, and different surroundings at different Reference Nodes. First, the Cramer–Rao lower bound (CRLB) is derived to unveil both the target tracking EP and the Node location calibration EP. In both cases, the EP principles turn out to be in a consistent form of the Ohm’s Law in circuit theory. Second, the asymptotic CRLB analysis is then presented to reveal that both EP principles scale with the inverse of sensor Node density. Meanwhile, it is shown that, the tracking and calibration accuracy only depends on the expectation of the measurement precision. Third, the convergence conditions, the convergence properties, and the balance state of the target tracking EP and the location calibration EP are examined to shed light on the EP characteristics of the SLAT scheme Finally, numerical simulations are presented to corroborate the EP analysis.