Sensor scheduling for target coverage in directional sensor networks

Improving Energy-Efficient Target Coverage in Visual Sensor Networks

Target coverage is one of the important problems in visual sensor networks. The coverage should be accompanied with an efficient use of energy in order to increase the network lifetime. In this paper, we address the maximum lifetime for visual sensor networks (MLV) problem by maximizing the network lifetime while covering all the targets. For this purpose, we develop a simulated annealing (SA) ...

Probabilistic coverage based sensor scheduling for target tracking sensor networks

In target tracking sensor networks, tracking quality and network lifetime are two conflicting optimization goals due to the limited battery power of the sensor nodes. During the movement of a target, how to select an optimal subset of sensors to wake up is of critical importance both for extending network lifetime and guaranteeing tracking quality. In this paper, we first propose a probabilisti...

Coverage Quality in Visual Sensor Networks

improving energy-efficient target coverage in visual sensor networks

target coverage is one of the important problems in visual sensor networks. the coverage should be accompanied with an efficient use of energy in order to increase the network lifetime. in this paper, we address the maximum lifetime for visual sensor networks (mlv) problem by maximizing the network lifetime while covering all the targets. for this purpose, we develop a simulated annealing (sa) ...

A Greedy Algorithm for Target Coverage Scheduling in Directional Sensor Networks

The wireless sensor networks have emerged as a promising tool for monitoring the physical world. Recently directional sensor networks (DSNs) consisting of directional sensors have gained attention. DSNs comprise a large number of sensors equipped with limited angles of sensing range and a limited battery. In DSNs, maximizing network lifetime while covering all the targets in a given area is sti...