Distributed dynamic navigation for sensor networks

Wu, Xiaoping; Tan, Shili; Chen, Tao; Yi, Xiaomei; Dai, Dawei

doi:10.1016/s1007-0214(11)70085-2

Cited by 4 publications

(6 citation statements)

References 13 publications

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“…(3) is considered as the observation. Here, the localization result is denoted asz by (3). The position of target node can be modified as…”

Section: Modified Observation Model the Localization Results Bymentioning

confidence: 99%

“…Deployed in the monitoring region, a large number of sensor nodes form a multihop ad hoc network system through wireless communication. These networked sensors are able to process sensed data locally and extract relevant information, to collaborate with other sensors on the application specific task and to provide the resultant information about the monitored events for a number of potential applications, ranging from battlefield monitoring and environmental surveillance to health care [1][2][3]. To make the data collected from sensor nodes meaningful, it often requires related node positions.…”

Section: Introductionmentioning

confidence: 99%

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Target Tracking with NLOS Detection and Mitigation in Wireless Sensor Networks

Wu¹,

Hu²,

Jiang³

et al. 2013

International Journal of Distributed Sensor Networks

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RN and SSR approaches are designed to detect NLOS propagation paths in this paper. When the NLOS propagation paths are detected, an estimation approach for the NLOS range errors is proposed by using residual-error decomposition. The approach can estimate the NLOS range errors quickly and effectively, even if there are multiple NLOS propagation paths. Combining the movement equation with observation position, the position of mobile target node can be tracked precisely with Kalman filter algorithm. Using the estimated NLOS range errors, we correct the localization result and modify Kalman filter to mitigate the NLOS propagations. The simulations demonstrate the validity with RN and SSR detection methods and analyze the impacts of NLOS range errors and number of NLOS anchor nodes. The estimated NLOS range errors are proved to be close to the true especially when the NLOS range errors are much bigger than LOS range errors. The simulation results show that the position of target node can be tracked precisely and effectively, when the NLOS mitigation is used to track the target node position with modified Kalman filter.

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“…(3) is considered as the observation. Here, the localization result is denoted asz by (3). The position of target node can be modified as…”

Section: Modified Observation Model the Localization Results Bymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Target Tracking with NLOS Detection and Mitigation in Wireless Sensor Networks

Wu¹,

Hu²,

Jiang³

et al. 2013

International Journal of Distributed Sensor Networks

Self Cite

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“…To avoid numerical complicationsa ssociated with the catalyst leading edge coinciding with the inlet boundary conditions,t he first 0.2mmo fw all at the inlet was assumed to be an inert wall. [27,28]…”

Section: Grid Division and Boundaryc Onditionsmentioning

confidence: 99%

The Effect of Inlet Velocity on CH₄ Catalytic Combustion Behavior with H₂ Addition in a Microchannel Combustor

Yan

Tang

et al. 2017

Energy Tech

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The characteristics of premixed methane/air combustion in a microchannel with a Pt catalyst were examined and the effect of inlet velocity on catalytic methane combustion with hydrogen addition was investigated numerically. It is shown that appropriate hydrogen addition can expand the extinction limits, particularly the upper extinction limit of the inlet velocity, and increase methane conversion at higher inlet velocities. However, it is proved that methane conversion at an equivalent ratio of 0.8 decreased with hydrogen addition when inlet velocity was lower than 0.36 m s−1. The heat released in the hydrogen–oxygen reaction increased the wall temperature, which resulted in the adsorption–desorption equilibrium of oxygen shifting towards desorption as Pt(s) coverage increased and O(s) coverage decreased. With the same amount of hydrogen added, the changes in wall temperature that reflected the thermal effects of hydrogen were more obvious at higher inlet velocities, which improved methane conversion. If the heat released by hydrogen was neglected, the competitive consumption of oxygen, which demonstrates the chemical effect of hydrogen, was more significant at lower inlet velocities, which inhibited methane conversion.

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“…The navigation algorithm proposed by Wu et al [9] con-sidered the impacts of the hazardous areas by estimating the trends in the change of the hazardous areas according to current knowledge. They considered the hazard expansion with a predetermined hazard spreading model and the victims travelling speeds to check the reachability of a particular node.…”

Section: Background Study and Related Workmentioning

confidence: 99%

“…They considered the hazard expansion with a predetermined hazard spreading model and the victims travelling speeds to check the reachability of a particular node. Although the safety along the path is highly considered by authors in [7], [8] and [9], they ignore the crowd congestions at future time points. Moreover, the approaches in [6] and [7] base only real time sensor data.…”

Section: Background Study and Related Workmentioning

confidence: 99%

Capacity constrained hazard awareness navigation in a fire emergency: A heuristic approach

Dinesh

Kolamunna

2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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We propose a novel heuristic algorithm for directing victims during a fire emergency within a building. We considered the capacity constraints of evacuation paths and the effect of hazard spreading for our algorithm. The main objective of the proposed algorithm is to maximize the number of evacuated victims at each time step. Therefore, we model the evacuation problem as the standard universal maximum flow problem by integrating unavailability of nodes and links over time due to hazardous conditions. The proposed solution is a heuristic approach instead a linear programming method. We compared the performance of our approach against two most relevant alternative heuristic approaches in order to experimentally demonstrate that our algorithm outperforms the alternatives.

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Distributed dynamic navigation for sensor networks

Cited by 4 publications

References 13 publications

Target Tracking with NLOS Detection and Mitigation in Wireless Sensor Networks

Target Tracking with NLOS Detection and Mitigation in Wireless Sensor Networks

The Effect of Inlet Velocity on CH₄ Catalytic Combustion Behavior with H₂ Addition in a Microchannel Combustor

Capacity constrained hazard awareness navigation in a fire emergency: A heuristic approach

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Distributed dynamic navigation for sensor networks

Cited by 4 publications

References 13 publications

Target Tracking with NLOS Detection and Mitigation in Wireless Sensor Networks

Target Tracking with NLOS Detection and Mitigation in Wireless Sensor Networks

The Effect of Inlet Velocity on CH4 Catalytic Combustion Behavior with H2 Addition in a Microchannel Combustor

Capacity constrained hazard awareness navigation in a fire emergency: A heuristic approach

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The Effect of Inlet Velocity on CH₄ Catalytic Combustion Behavior with H₂ Addition in a Microchannel Combustor