An Analysis on the Impact of Video Traffic over Wireless Visual Sensor Network under Mannasim Sensor Network Architecture

Abstract

Abstract-The monitoring capability of a Wireless Sensor Network (WSN) constitutes an important feature making its application multidisciplinary. In a common WSN, the network handles only simple scalar data and thus it is sufficient for complex applications such as object detection, surveillance, image recognition, localization, and tracking. Therefore, in addition to normal sensing network infrastructures, the functionality of a WSN can be improved by adding vision capabilities. The existing hardware and software specifications of a typical WSN node are determined only for handling simple tasks. The main objective of this work is to extend the WSN to a Visual Sensor Network (VSN) by adding some visual sensor nodes in the traditional WSN infrastructure and study the video traffic impact to the overall performance with respect to different metrics. For these purposes, a sensor network with some Mica2 Motes with added visual sensors acting as cluster heads as well as routers was simulated herein. The generated data by the Mica Motes and the visual sensors nodes will be collected by separate sink nodes. The performance of the network will be studied with respect to different number of simultaneous video connections. The impact of video traffic over the scalar data flow as well as the overall performance will be analyzed with suitable metrics.