Priority‐based 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) ...

Target coverage through distributed clustering in directional sensor networks

Maximum target coverage with minimum number of sensor nodes, known as an MCMS problem, is an important problem in directional sensor networks (DSNs). For guaranteed coverage and event reporting, the underlying mechanism must ensure that all targets are covered by the sensors and the resulting network is connected. Existing solutions allow individual sensor nodes to determine the sensing directi...

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) ...

Coverage Quality in Visual Sensor Networks

A Target Coverage Scheduling Scheme Based on Genetic Algorithms in Directional Sensor Networks

As a promising tool for monitoring the physical world, directional sensor networks (DSNs) consisting of a large number of directional sensors are attracting increasing attention. As directional sensors in DSNs have limited battery power and restricted angles of sensing range, maximizing the network lifetime while monitoring all the targets in a given area remains a challenge. A major technique ...