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Adel Soudani

Associate Professor

Associate Professor

علوم الحاسب والمعلومات
CCIS 2218

Image-Based Object Identification for Efficient Event-Driven Sensing in Wireless Multimedia Sensor Networks

Soudani, Adel . 2015

Applications based on video and image in wireless sensor network are highly attractive due to their wealth of information. In this context, application for object recognition and tracking using image and video information is one the attractive approaches that can be applied for event detection and localization, security processes, following of the rare animal species and control of road traffic, and so forth. However, the implementation of such approach with WMSN requires a specific image processing scheme and efficient transmission protocol. In fact, because of the limited energy of the batteries embedded in motes, the power consumption is the major constraint facing network life time and reliability in WMSN. The efficiency and the validity of these multimedia applications over wireless sensor networks are then dependent on the capabilities of the designer to provide low-power scheme for data processing and energy-aware transmission protocols. This paper presents a contribution to the design of low complexity scheme based on object identification for efficient sensing of multimedia information in wireless multimedia sensor networks. It proposes a new solution and explores the associated performances of this scheme. The presented results in this paper attest the high efficiency to achieve low-power objects identification when implemented in wireless motes.

Publication Work Type
research article
Volume Number
volume 2015(2015)
Issue Number
March 2015
Magazine \ Newspaper
International Journal of Distributed Sensor Networks
Pages
11 pages
more of publication
publications

Applications based on video and image in wireless sensor network are highly attractive due to their wealth of information.

by Adel Soudani, Mohsen Alhilal, Abdullah Al-Dhelaan
2015