International Journal on Advanced Science, Engineering and Information Technology, Vol. 9 (2019) No. 2, pages: 664-670, DOI:10.18517/ijaseit.9.2.2957

An Improved Multi-layer Cooperation Routing in Visual Sensor Network for Energy Minimization

Arif Ullah, Nazri Mohd Nawi, Muhammad Aamir, Asim Shazad, Sundas Naqeeb Faisal

Abstract

Recent development on visual sensor networks (VSN) have shown the emergence of VSN as an important class of sensor-based distributed intelligent systems, with unique performance, complexity, and quality of service challenges.  Furthermore, the popularity of VSN had attracted researchers and industries from many applications. Basically, VSN consists of a large number of low-power camera nodes, visual sensor networks support a great number of novel vision-based applications. The information provided by the camera nodes from a monitored site were collected data and processed in distributed and collaboratively. The use of multiple cameras in the network provides different views of the scene which enhances the reliability of the captured events. However, the cameras combined with the network's resource produce large amount of image data which require more energy consumption. Many research experts are working and publishing research papers on energy minimization in visual sensor network. However, there are no special attentions given by researchers on multi-layer cooperation routing in visual sensor network (VSN) particularly on the deficiency of forward-thinking innovation. This research proposed a new method that put forward the step and use (CO-VSN) multi-layer routing arrangement in visual sensor network. The performance of the proposed method is then compared with RASE protocol in different parameters and the result shows some meditation change in the stability of the network, increase the network life, reduce packet loss and energy drainage reduce in the VSNs. Even though, the RASE scheme used channel condition for movement of data and yet the proposed CO-VSN used cooperation and demonstrated better results.

Keywords:

multi Cooperation; energy feeding; network stability; visual sensor network.

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