Wireless visual sensor networks have been adopted in different contexts to provide information a more flexible and distributed way, supporting the development of innovative applications. Although data may be central for considerable set applications areas such as Smart Cities, Industry 4.0, Vehicular Networks, actual quality not easily determined since it associated with many factors that depen...

an efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. the implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. according to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses fuzzy inference systems to select cluster head. the alg...

Visual sensor networks (VSN) are networks of smart cameras capable of local image processing and data communication. Different from traditional camera-based surveillance network where cameras simply stream their image data to a centralized server for processing, cameras in VSNs form a distributed system, performing information extraction and collaborating on application-specific tasks. Due to t...

This work addresses the problem of enabling resource-constrained sensor nodes to perform visual analysis tasks. The focus is on visual analysis tasks that require the extraction of local visual features, which form a succinct and distinctive representation of the visual content of still images or videos. The extracted features are then matched against a feature data set to support applications ...

wireless sensor networks are the new generation of networks that typically are formed great numbers of nodes and the communications of these nodes are done as wireless. the main goal of these networks is collecting data from neighboring environment of network sensors. since the sensor nodes are battery operated and there is no possibility of charging or replacing the batteries, the lifetime of ...