Visual Sensor Networks

2016 ◽

pp. 263-282

Author(s):

Suseela G ◽

Asnath Victy Phamila Y

Keyword(s):

Low Cost ◽

Home Monitoring ◽

Image Sensors ◽

Security And Privacy ◽

Data Networks ◽

Visual Sensor ◽

Visual Sensor Network ◽

Security Issues ◽

Cmos Image Sensors ◽

Recent Trends

Visual Sensor Network (VSN) is a network of distributed battery-powered low-cost cameras and CMOS image sensors, each with the capability of capturing, processing, sending, and receiving images. VSN applications include remote monitoring, Security, elderly assistance, Visual Ubiquity, home monitoring, tracking. The highly sensitive nature of images makes security and privacy in VSNs even more important than in most other sensor and data networks. However, the direct use of security techniques developed for scalar WSN will not be suitable for VSN due to its resource constraint. Hence light weight security mechanisms need to be explored. In this chapter the challenging security issues at various layers in VSN are addressed. It also fosters discussion on privacy protection techniques like subjective privacy, Video masking techniques and identifies recent trends in VSN security and privacy. A discussion of open research issues concludes this chapter.

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Using a wireless visual sensor network to harmonically navigate multiple low-cost wheelchairs in an indoor environment

Journal of Network and Computer Applications ◽

10.1016/j.jnca.2015.11.018 ◽

2016 ◽

Vol 62 ◽

pp. 88-99 ◽

Cited By ~ 2

Author(s):

Feng Tian ◽

Kuo-Ming Chao ◽

Zuren Feng ◽

Keyi Xing ◽

Nazaraf Shah

Keyword(s):

Sensor Network ◽

Indoor Environment ◽

Low Cost ◽

Visual Sensor ◽

Visual Sensor Network

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Power-Rate-Distortion Analysis Of Wireless Visual Sensor Network

10.32920/ryerson.14643933 ◽

2021 ◽

Author(s):

William Shaw

Keyword(s):

Sensor Networks ◽

Sensor Network ◽

Low Cost ◽

Sensory Information ◽

Rate Distortion ◽

Future Research ◽

Wireless Multimedia ◽

Visual Sensor ◽

Visual Sensor Network ◽

Clustering Model

The emergence of low-cost and mature technologies in wireless communication, visual sensor devices, and digtial signal processing, facilitates the potential of wirelss sensor networks (WSN). Like sensor networks which respond to sensory information such as temerpature and humidity, WSN interconnects autonomous devices for capturing and processing video and audio sensory information. This thesis highlights the following topics: (1) a summary of applications and challenges of WVSN; (2) the performance analysis of a wireless sensor network and wireless multimedia sensor network. To extend the system performance, two methods are provided in this thesis. First, mobile sink with node scheduling in multiple tracking targets is proposed. Second, a layered clustering model in sparing communication energy consumption in wirelsess visual sensor network is proposed. The experimental results validate our correlated approaches extend the system lifetime; (3) direction for Future Research are given.

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Three Factor Authentication using Webcam for securing Online Transaction

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v14i2.2078 ◽

2014 ◽

Vol 14 (2) ◽

pp. 5487-5493

Author(s):

Vaishali Hirlekar

Keyword(s):

Low Cost ◽

Information Assurance ◽

Authentication Protocol ◽

Security And Privacy ◽

Identification Methods ◽

Security Issues ◽

Authentication System ◽

Biometric Information ◽

Number Of Customers ◽

Three Factor

There are a continuously growing number of customers who use Online Transaction facility due to its convenience. But the security and privacy of Information may be one of the biggest concerns to the users. In face of the current security issues and the growing number of attacks and consequent frauds, new systems should be designed as to provide better authentication and identification methods. A generic and secure framework is proposed to upgrade two-factor authentication to three-factor authentication. A well designed three-factor authentication protocol authentication system can greatly improve the information assurance at low cost. In three-factor authentication, in addition to furnishing their regular password and an OTP, users will be asked to provide biometric information would irrefutably prove their identity. This fingerprint biometric information can be captured by using low cost sensors such as Web Cam. In this paper, we investigate new technique to suitably process camera images of fingertips in order to produce image which are as similar as possible to the ones coming from dedicated sensors. The proposed technique encompasses a segmentation, enhancement and matching of the fingertip image for the person's identifiaction.

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Low-Cost Prioritization of Microorganism Image Data in Wireless Visual Sensor Network

2016 International Computer Symposium (ICS) ◽

10.1109/ics.2016.0141 ◽

2016 ◽

Author(s):

Fang Zhou ◽

Zhonglou Lu ◽

Jun Liu ◽

Yunfei Xia ◽

Xin Wei

Keyword(s):

Sensor Network ◽

Low Cost ◽

Image Data ◽

Visual Sensor ◽

Visual Sensor Network

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Power-Rate-Distortion Analysis Of Wireless Visual Sensor Network

10.32920/ryerson.14643933.v1 ◽

2021 ◽

Author(s):

William Shaw

Keyword(s):

Sensor Networks ◽

Sensor Network ◽

Low Cost ◽

Sensory Information ◽

Rate Distortion ◽

Future Research ◽

Wireless Multimedia ◽

Visual Sensor ◽

Visual Sensor Network ◽

Clustering Model

The emergence of low-cost and mature technologies in wireless communication, visual sensor devices, and digtial signal processing, facilitates the potential of wirelss sensor networks (WSN). Like sensor networks which respond to sensory information such as temerpature and humidity, WSN interconnects autonomous devices for capturing and processing video and audio sensory information. This thesis highlights the following topics: (1) a summary of applications and challenges of WVSN; (2) the performance analysis of a wireless sensor network and wireless multimedia sensor network. To extend the system performance, two methods are provided in this thesis. First, mobile sink with node scheduling in multiple tracking targets is proposed. Second, a layered clustering model in sparing communication energy consumption in wirelsess visual sensor network is proposed. The experimental results validate our correlated approaches extend the system lifetime; (3) direction for Future Research are given.

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Visual Sensor Network Technology and Its Applications

Visual Information Processing in Wireless Sensor Networks ◽

10.4018/978-1-61350-153-5.ch001 ◽

2011 ◽

pp. 1-19

Author(s):

Li-minn Ang ◽

Kah Phooi Seng

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Visual Information ◽

Image Sensors ◽

The Other ◽

Wireless Sensor ◽

Network Technology ◽

Visual Sensor ◽

Visual Sensor Network ◽

The One

The combination of image sensors with wireless sensor network (WSN) technology has resulted in a new network technology called a visual sensor network (VSN). On the one hand, VSNs can be seen as an extension of traditional WSNs where image sensors have replaced scalar sensors. On the other hand, the use of image sensors in VSNs brings with it a different set of practical and research challenges. This is because image sensors generate a very high amount of data that would have to be processed and transmitted within the network. In this chapter, we present an introduction to VSN technology and provide an overview of research issues and trends. Issues related to energy efficient processing, collaborative processing, and hardware technology will be highlighted. This chapter will also give a brief introduction to the other chapters in the book with a focus on showing how the topics covered in each chapter relate to the overall picture of visual information processing in wireless sensor network environments.

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Block Compressive Sensing (BCS) Based Low Complexity, Energy Efficient Visual Sensor Platform with Joint Multi-Phase Decoder (JMD)

Sensors ◽

10.3390/s19102309 ◽

2019 ◽

Vol 19 (10) ◽

pp. 2309 ◽

Cited By ~ 3

Author(s):

Mansoor Ebrahim ◽

Wai Chong Chia ◽

Syed Hasan Adil ◽

Kamran Raza

Keyword(s):

Compressive Sensing ◽

Low Cost ◽

Low Complexity ◽

Practical Implementation ◽

Bandwidth Utilization ◽

Visual Sensor ◽

Visual Sensor Network ◽

Sensor Platform ◽

Critical Issues ◽

Multi Phase

Devices in a visual sensor network (VSN) are mostly powered by batteries, and in such a network, energy consumption and bandwidth utilization are the most critical issues that need to be taken into consideration. The most suitable solution to such issues is to compress the captured visual data before transmission takes place. Compressive sensing (CS) has emerged as an efficient sampling mechanism for VSN. CS reduces the total amount of data to be processed such that it recreates the signal by using only fewer sampling values than that of the Nyquist rate. However, there are few open issues related to the reconstruction quality and practical implementation of CS. The current studies of CS are more concentrated on hypothetical characteristics with simulated results, rather than on the understanding the potential issues in the practical implementation of CS and its computational validation. In this paper, a low power, low cost, visual sensor platform is developed using an Arduino Due microcontroller board, XBee transmitter, and uCAM-II camera. Block compressive sensing (BCS) is implemented on the developed platform to validate the characteristics of compressive sensing in a real-world scenario. The reconstruction is performed by using the joint multi-phase decoding (JMD) framework. To the best of our knowledge, no such practical implementation using off the shelf components has yet been conducted for CS.

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