Coverage problems in sensor networks: A survey
By Bang Wang. CSUR, 2011
564 citations recorded by the source corpus.
Sensor networks, which consist of sensor nodes each capable of sensing environment and transmitting data, have lots of applications in battlefield surveillance, environmental monitoring, industrial diagnostics, etc. Coverage which is one of the most important performance metrics for sensor networks reflects how well a sensor field is monitored. Individual sensor coverage models are dependent on the sensing functions of different types of sensors, while network-wide sensing coverage is a collective performance measure for geographically distributed sensor nodes. This article surveys research progress made to address various coverage problems in sensor networks. We first provide discussions on sensor coverage models and design issues. The coverage problems in sensor networks can be classified into three categories according to the subject to be covered. We state the basic coverage problems in each category, and review representative solution approaches in the literature. We also provide comments and discussions on some extensions and variants of these basic coverage problems.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/98483690e9308f2f6bed0f6a09df2e35f1d02824
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Electrical and Electronic Engineering
In Media Technology
- Dinesh Jayaraman
- Kristen Grauman
- Santhosh K. Ramakrishnan
- Yourim Yoon
- Yong-Hyuk Kim
- Yong Jae Lee
- Trevor Darrell
- Ondřej Chum
Citations in the corpus
- Sidekick Policy Learning for Active Visual Exploration (2018, background): “Work in active sensor placement aims to place sensors in an environment to maximize coverage [11,36,62].”
- Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks (2017, background): “Optimal sensor placement: The sensor placement literature studies how to place sensors in a distributed network to provide maximum coverage [14, 36, 64].”
- An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks (2013, methodology): “Among them, the Boolean disk coverage model might be the most widely used sensor coverage model in the literature [45].”