Sensor placement for grid coverage under imprecise detections

By Santpal Singh Dhillon, Krishnendu Chakrabarty, S. Iyengar. Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997), 2002

360 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/d7fda6ed720073a30cc8b440d5c3b57953357fb2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Azzedine F. M. Boukerche
2. Bang Wang
3. Yi Zou
4. Krishnendu Chakrabarty
5. Guiling Wang
6. Yong-Hyuk Kim

In Computer Networks and Communications

1. Bang Wang
2. Sajal K. Das
3. Yourim Yoon
4. Yong-Hyuk Kim
5. Amitava Ghosh
6. Guiling Wang
7. Azzedine F. M. Boukerche
8. Yi Zou

Citations in the corpus

• Coverage problems in sensor networks: A survey (2011, methodology): “Many variants of the simple GREEDY-SET-COVER algorithm have been proposed to solve various node placement problems [Dhillon et al. 2002; Dhillon and Chakrabarty 2003; Zou and Chakrabarty 2004b; Wang and Zhong 2006; Xu and Sahni 2007; Fang and Wang 2008; Wang 2008].”
• Movement-assisted sensor deployment (2004, background): “Most of these work [5], [8], [9], [10] assume that the environment is sufficiently known and under control.”
• Coverage and connectivity issues in wireless sensor networks: A survey (2008, background): “[9] propose a grid coverage algorithm that ensures that every gridpoint is covered with a minimum confidence level.”
• Algorithms and Protocols for Wireless Sensor Networks (2008, methodology): “Coverage (spatial) comprises the problem of determining the area covered by the sensors in the network [13, 14, 56, 57].”
• Sensor deployment and target localization in distributed sensor networks (2004, methodology): “However, because of the inherent un­certainty associated with sensor readings, sensor detection must be modeled probabilistically [Dhillon et al. 2002].”
• An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks (2013, background): “There have been studies to expand the coverage of sensors with static sensors, which have limited movement [14], [15], and studies with mobile sensors, which can move within a certain area [23], [31], [39], [56].”