scholarly journals Target Tracking in Wireless Visual Sensor Networks: Challenges, Steps, and Metrics of Evaluation

2021 ◽  
Vol 12 (5) ◽  
pp. 1037-1043
Author(s):  
Afaf Mosaif, Et. al.
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Smart Cities ◽  
Field Of View ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Visual Sensors ◽  
Area Of Interest ◽  
Wide Range ◽  
Wireless Visual Sensor Networks

In recent years, wireless sensor networks have been used in a wide range of applications such as smart cities, military, and environmental monitoring. Target tracking is one of the most interesting applications in this area of research, which mainly consists of detecting the targets that move in the area of interest and monitoring their motions. However, tracking a target using visual sensors is different and more difficult than that of scalar sensors due to the special characteristics of visual sensors, such as their directional limited field of view, and the nature and amount of the sensed data. In this paper, we first present the challenges of detection and target tracking in wireless visual sensor networks, then we propose a scheme that describes the basic steps of target tracking in these networks, we focus then on the tracking across camera nodes by presenting some metrics that can be considered when designing and evaluating this type of tracking approaches.

scholarly journals Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2629 ◽  
Author(s):  
Thiago Jesus ◽  
Paulo Portugal ◽  
Francisco Vasques ◽  
Daniel Costa
Keyword(s):  
Sensor Networks ◽  
Visual Information ◽  
Sensor Nodes ◽  
Monitoring And Control ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wide Range ◽  
Dependability Evaluation ◽  
Wireless Visual Sensor Networks ◽  
Modeling Strategy

Wireless sensor networks have been considered as an effective solution to a wide range of applications due to their prominent characteristics concerning information retrieving and distributed processing. When visual information can be also retrieved by sensor nodes, applications acquire a more comprehensive perception of monitored environments, fostering the creation of wireless visual sensor networks. As such networks are being more often considered for critical monitoring and control applications, usually related to catastrophic situation prevention, security enhancement and crises management, fault tolerance becomes a major expected service for visual sensor networks. A way to address this issue is to evaluate the system dependability through quantitative attributes (e.g., reliability and availability), which require a proper modeling strategy to describe the system behavior. That way, in this paper, we propose a methodology to model and evaluate the dependability of wireless visual sensor networks using Fault Tree Analysis and Markov Chains. The proposed modeling strategy considers hardware, battery, link and coverage failures, besides considering routing protocols on the network communication behavior. The methodology is automated by a framework developed and integrated with the SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) tool. The achieved results show that this methodology is useful to compare different network implementations and the corresponding dependability, enabling the uncovering of potentially weak points in the network behavior.

scholarly journals Study of Energy Management in Wireless Visual Sensor Networks

2020 ◽  
pp. 68-75
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Wireless Networking ◽  
Two Dimensions ◽  
Field Of View ◽  
Crucial Issue ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks

Wireless Visual Sensor Networks (WVSNs) are a branch of Wireless Sensor Networks (WSNs), WVSN nodes vary from standard WSN nodes in the ability of sensing the environment in two dimensions rather than in one. Therefore, it follows the three main fundamentals of WSNs: wireless networking, distributed sensing and low power hardware. This paper discusses different challenges that face the design of WVSNs like deployment of nodes, field of view overlapping, image analysis, area coverage and energy consumption. Efforts have been done mainly to survey the problem of energy consumption that can affect the lifetime of visual sensor network and overview the different techniques that have been used by many researchers to handle this crucial issue.

scholarly journals An Improved Image Steganography Scheme Based on Partial Preservation Embedding Algorithm for Wireless Visual Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qian Shen ◽  
Tao Jiang ◽  
Yongjun Zhu ◽  
Yin Wu
Keyword(s):  
Sensor Networks ◽  
Frequency Band ◽  
Poor Performance ◽  
Least Significant Bit ◽  
Medium Frequency ◽  
Visual Sensor ◽  
Secret Data ◽  
Visual Sensor Networks ◽  
Noise Interference ◽  
Wireless Visual Sensor Networks

With the continuous improvement of encryption algorithms, some applications based on the architecture of wireless visual sensor networks have gradually shifted their attention to the imperceptibility and antijamming performance of secret images. To reduce the probability of secret images being detected, the current research focuses on hiding secret data in the least-significant bit of the cover image in the spatial domain or embedding data into the coefficients of the high-frequency band in the transformational domain, which usually leads to poor performance in a hostile environment. Therefore, some researchers proposed to substitute the coefficients of the medium-frequency band in the transformational domain with secret information to enhance the anti-interference performance. However, this idea would severely affect the imperceptibility of secret images. As a result, an improved version based on the partial preservation embedding algorithm was designed in this paper. Theory analysis and simulation results indicate that the proposed scheme performs better than the existing methods by directly substituting the coefficients of the medium-frequency band in the transformational domain, especially in the case of strong noise interference.

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