scholarly journals A New System for Real-time Video Surveillance in Smart Cities Based on Wireless Visual Sensor Networks and Fog Computing

2021 ◽  
pp. 175-184
Author(s):  
Afaf Mosaif ◽  
◽  
Said Rakrak
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Video Surveillance ◽  
Smart City ◽  
Fog Computing ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks ◽  
Camera Nodes ◽  
New System

Nowadays, public security is becoming an increasingly serious issue in our society and its requirements have been extended from urban centers to all remote areas. Therefore, surveillance and security cameras are being deployed worldwide. Wireless Visual Sensor Networks nodes can be employed as camera nodes to monitor in the city without the need for any cables installation. However, these cameras are constrained in processing, memory, and energy resources. Also, they generate a massive amount of data that must be analyzed in real-time to ensure public safety and deal with emergency situations. As a result, data processing, information fusion, and decision making have to be executed on-site (near to the data collection location). Besides, surveillance cameras are directional sensors, which makes the coverage problem another issue to deal with. Therefore, we present a new system for real-time video surveillance in a smart city, in which transportations equipped with camera nodes are used as the mobile part of the system and an architecture based on fog computing and wireless visual sensor networks is adopted. Furthermore, we propose an approach for selecting the camera nodes that will participate in the tracking process and we simulated three different use cases to test the effectiveness of our system in terms of target detection. The simulation results show that our system is a promising solution for smart city surveillance applications.

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.

Visual Sensor Network Processing and Preventative Steganalysis

2011 ◽  
pp. 340-357
Author(s):  
Julien Sebastien Jainsky ◽  
Deepa Kundur
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
High Rate ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Visual Sensor Networks ◽  
Steganographic Attacks ◽  
Wireless Visual Sensor Networks ◽  
The Moment ◽  
Rate Of Success

In this chapter, we discuss the topic of security in wireless visual sensor networks. In particular, attention is brought to steganographic security and how it can be discouraged without challenging the primary objectives of the network. We motivate the development and implementation of more lightweight steganalytic solutions that take into account the resources made available by the network’s deployment and its application in order to minimize the steganalysis impact on the WVSN workload. The concept of preventative steganalysis is also introduced in this chapter as a means to protect the network from the moment it is deployed. Preventative steganalysis aims at discouraging any potential steganographic attacks by processing the WVSN collected data such that the possibility of steganography becomes very small and the steganalysis leads to high rate of success.

Wireless Visual Sensor Networks Energy Optimization Based on New Entropy Model

2020 ◽  
Vol 20 (2) ◽  
pp. 778-785
Author(s):  
Mohammadjavad Mirzazadeh Moallem ◽  
Ali Aghagolzadeh ◽  
Reza Ghazalian
Keyword(s):  
Sensor Networks ◽  
Energy Optimization ◽  
Visual Sensor ◽  
Entropy Model ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks

scholarly journals Adaptive compressive sensing for target tracking within wireless visual sensor networks-based surveillance applications

2015 ◽  
Vol 75 (11) ◽  
pp. 6347-6371 ◽  
Author(s):  
Salema Fayed ◽  
Sherin M.Youssef ◽  
Amr El-Helw ◽  
Mohammad Patwary ◽  
Mansour Moniri
Keyword(s):  
Sensor Networks ◽  
Compressive Sensing ◽  
Target Tracking ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks ◽  
Surveillance Applications
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