A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks

Wang, Fei; Xu, Yongjun; Wu, Lin; Li, Longyijia; Liu, Dan; Zhu, Liehuang

doi:10.1155/2013/469076

Cited by 133 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the computation burden of the scheduling is shared to all the active nodes. Aiming to optimize the tradeoff between the tracking accuracy and the energy cost for collaborative target tracking in WSNs, a dynamic sensor selection scheme based on genetic algorithms was proposed in [23].…”

Section: Related Workmentioning

confidence: 99%

Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks

Liu

Xiao

Shuai

et al. 2018

Sensors

View full text Add to dashboard Cite

Collaborative target tracking is one of the most important applications of wireless sensor networks (WSNs), in which the network must rely on sensor scheduling to balance the tracking accuracy and energy consumption, due to the limited network resources for sensing, communication, and computation. With the recent development of energy acquisition technologies, the building of WSNs based on energy harvesting has become possible to overcome the limitation of battery energy in WSNs, where theoretically the lifetime of the network could be extended to infinite. However, energy-harvesting WSNs pose new technical challenges for collaborative target tracking on how to schedule sensors over the infinite horizon under the restriction on limited sensor energy harvesting capabilities. In this paper, we propose a novel adaptive dynamic programming (ADP)-based multi-sensor scheduling algorithm (ADP-MSS) for collaborative target tracking for energy-harvesting WSNs. ADP-MSS can schedule multiple sensors for each time step over an infinite horizon to achieve high tracking accuracy, based on the extended Kalman filter (EKF) for target state prediction and estimation. Theoretical analysis shows the optimality of ADP-MSS, and simulation results demonstrate its superior tracking accuracy compared with an ADP-based single-sensor scheduling scheme and a simulated-annealing based multi-sensor scheduling scheme.

show abstract

Section: Related Workmentioning

confidence: 99%

Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks

Liu

Xiao

Shuai

et al. 2018

Sensors

View full text Add to dashboard Cite

show abstract

“…One way to address the critical issues in maintaining the strength of the structure and ensuring the safety of engineers is to apply appropriate pretightening force to the bolted joints and conduct long-term online monitoring of their axial stress. The most frequently used nondestructive estimation methods of stress include the photoelasticity method [1], resistance strain gauge method [2], piezoresistance method [3], active sensing method [4,5], and ultrasonic testing method [6][7][8][9]. Among all these methods, the ultrasonic testing method is considered as a potential alternative technique due to its convenience to measure bolt tension with better accuracy.…”

Section: Introductionmentioning

confidence: 99%

Parameter Recognition of Mode-Converted Wave in Single-Source Ultrasound Using Gabor Transform for Bolt Axial Stress Evaluation

2020

View full text Add to dashboard Cite

In this paper, a novel parameter recognition method of mode-converted wave in single-source ultrasound is put forward and applied to the estimation of axial stresses in bolts. To overcome the distortion and aliasing of the mode-converted wave in single-source ultrasonic signal, a time-frequency parameter recognition method based on the Gabor transform is introduced to recognize the accurate time of flight (TOF) of the mode-converted wave. Based on the mode conversion of the single-source longitudinal ultrasound, a new nonlinear evaluation model based on acoustoelastic equation is derived to determine the axial stress of bolt. The performance of the proposed method is evaluated by comparing it with the commonly used TOF ratio method of longitudinal wave and shear wave (L-S). The experiment result shows that the proposed method is more effective in detecting the connection status of bolted joints than the traditional L-S method.

show abstract

“…It is common that bolts loosen over a period of time, and this phenomenon may cause the out-of-plane rotation of tall shear walls. Song et al [40][41][42][43] monitored the phenomenon of bolts looseness and found it common in the structures with bolted connection. In summary, the present PC shear wall with dry connection cannot achieve the same seismic performance as the RC shear wall.…”

Section: Introductionmentioning

confidence: 99%

Influence of a New Form of Bolted Connection on the Mechanical Behaviors of a PC Shear Wall

et al. 2018

View full text Add to dashboard Cite

A variety of forms of connection in precast reinforced concrete (PC) have been proposed, but the impact of the connection forms on the shear wall remains to be studied. In this paper, through quasi-static experiments and numerical simulations, the influences of a new form of bolted connection on the mechanical behaviors of the PC shear wall are investigated. The results show that the strain of the connector is less than the yield strain and the failure does not occur in the connector; the mechanical behaviors of this connection form of the PC shear wall are equivalent to those of the cast-in-place reinforced concrete (RC) shear wall. Meanwhile, reasonable suggestions are put forward for the design of the connector from the pretightening force, bolt number, and axial compression ratio. This implies that this form of bolted connection has little influence on the mechanical behaviors of the PC shear wall and design suggestions can be used in practical projects.

show abstract

A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks

Cited by 133 publications

References 21 publications

Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks

Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks

Parameter Recognition of Mode-Converted Wave in Single-Source Ultrasound Using Gabor Transform for Bolt Axial Stress Evaluation

Influence of a New Form of Bolted Connection on the Mechanical Behaviors of a PC Shear Wall

Contact Info

Product

Resources

About