Coverage improvement using Voronoi diagrams in directional sensor networks

Voronoi-Based Coverage Optimization for Directional Sensor Networks

Sensing coverage is a fundamental problem in sensors networks. Different from traditional isotropic sensors with sensing disk, directional sensors may have a limited angle of sensing range due to special applications. In this paper, we study the coverage problem in directional sensor networks (DSNs) with the rotatable orientation for each sensor. We propose the optimal coverage in directional s...

Key management in heterogeneous wireless sensor networks using Voronoi diagrams

Wireless sensor networks' nodes are divided to Hsensors and L-sensors. H-sensor nodes are more powerful than L-sensor nodes in term of processing and memory. Because of that H-sensors are considered as the cluster head and L-sensor as the cluster member. H-sensor is responsible for the security of this communication. Each node can communicate with neighbor nodes. Problems of the network are sec...

Coverage Quality in Visual Sensor Networks

Local Coverage Optimization Strategy Based on Voronoi for Directional Sensor Networks †

In this paper, we study the area coverage of directional sensor networks (DSNs) with random node distribution. The coverage of DSNs depends on the sensor's locations, the sensing radiuses, and the working directions, as well as the angle of view (AoV), which is challenging to analyze. We transform the network area coverage problem into cell coverage problems by exploiting the Voronoi diagram, w...

Coverage Improvement In Wireless Sensor Networks Based On Fuzzy-Logic And Genetic Algorithm

Wireless sensor networks have been widely considered as one of the most important 21th century technologies and are used in so many applications such as environmental monitoring, security and surveillance. Wireless sensor networks are used when it is not possible or convenient to supply signaling or power supply wires to a wireless sensor node. The wireless sensor node must be battery powered.C...