Distributed Coverage Verification in Sensor Networks Without Location Information

Determining active sensor nodes for complete coverage without location information

Selecting a partial set of sensor nodes for execution and still maintaining the system sensing coverage is an important issue in wireless sensor networks. The previous research was concentrated on the location-aware sensor networks but little attention has been devoted to the location-free environments. This paper describes an approach to determining active nodes for full coverage without locat...

Coverage Quality in Visual Sensor Networks

Location-unaware coverage in wireless sensor networks

In scenarios where sensors are placed randomly, redundant deployment is essential for ensuring adequate field coverage. This redundancy needs to be efficiently exploited by periodically selecting a subset of nodes (referred to as a “cover”) which actively monitors the field, and putting the remaining nodes to sleep. We consider networks in which sensors are not aware of their locations or the r...

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) ...

Complete coverage and point coverage in randomly distributed sensor networks

In sensor networks, sensing coverage is an important issue. For target tracking and event monitoring applications, complete coverage is commonly used as one measure of coverage. However, when sensors are randomly distributed in the area of interest, complete coverage is too sensitive to ∧ the locations of the sensors. In this paper, point coverage is considered as an alternative measure of cove...