Scallop : An open peer-to-peer framework for distributed sensor networks

Saastamoinen, P.; Huttunen, Sami; Takala, Valtteri; Heikkilä, Marko; Heikkilä, Janne

doi:10.1109/icdsc.2008.4635712

Cited by 3 publications

(2 citation statements)

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“…According to the setting applied to the cameras and other equipment, the systems are highly applicable in different climatic conditions at days and nights [5]. In the wireless sensor networks, each sensor node acquires a specific standpoint [6]. The sensor standpoint of the environment is limited by the range and precision, possibly covering a restricted physical area.…”

Section: -Introductionmentioning

confidence: 99%

Providing a New Smart Camera Architecture for Intrusion Detection in Wireless Visual Sensor Network

Sani¹,

Khatibi²

2023

jist

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The wireless Visual sensor network is a highly functional domain of high-potential network generations in unpredictable and dynamic environments that have been deployed from a large number of uniform or non-uniform groups within the desired area, cause the realization of large regulatory applications from the military and industrial domain to hospital and environment. Therefore, security is one of the most important challenges in these networks. In this research, a new method of routing smart cameras with the help of cloud computing technology has been provided. The framework in the cloud computing management layer increases security, routing, inter interaction, and other features required by wireless sensor networks. Systematic attacks are simulated by a series of standard data collected at the CTU University related to the Czech Republic with RapidMiner software. Finally, the accuracy of detection of attacks and error rates with the suggested NN-SVM algorithm, which is a combination of vector machines and neural networks, is provided in the smart cameras based on the visual wireless sensor networks in MATLAB software. The results show that different components of the proposed architecture meet the quality characteristics of visual wireless sensor networks. Detection of attacks in this method is in the range of 99.24% and 99.35% in the worst and best conditions, respectively.

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Section: -Introductionmentioning

confidence: 99%

Providing a New Smart Camera Architecture for Intrusion Detection in Wireless Visual Sensor Network

Sani¹,

Khatibi²

2023

jist

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“…Scallop [11] is a framework for distributed vision sensor networks based on peer-to-peer concepts. The system is implemented using the .NET framework and is intended to be used on PCs and workstations.…”

Section: Related Workmentioning

confidence: 99%

A pervasive smart camera network architecture applied for multi-camera object classification

Schriebl

Winkler

Starzacher

et al. 2009

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)

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Abstract-Visual sensor networks are an emerging research area with the goal of using cameras as pervasive and affordable sensing and processing devices. This paper presents a pervasive smart camera platform which is built from off-the-shelf hardware and software components. The hardware platform is comprised of an OMAP 3530 processor, 128 MB RAM and various interfaces for connecting sensors and peripherals. A dual-radio wireless network allows to trade communication performance for power consumption. The software architecture is built upon standard Linux and supports dataflow oriented application development by dynamically instantiating and connecting functions blocks. Data is transferred between blocks via shared memory for high throughput. We present a performance evaluation of our smart camera platform as well as a multi-camera object classification system to demonstrate the capabilities and applicability of our approach.

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