Sensor placement for effective coverage and surveillance in distributed sensor networks
By Santpal Singh Dhillon, Krishnendu Chakrabarty. 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003., 2003
644 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/48aadee0a40fd14a5c9b5f44c631a7606c452794
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In Computer Networks and Communications
- Kemal Akkaya
- Kristen Grauman
- Mohamed F. Younis
- Dinesh Jayaraman
- Santhosh K. Ramakrishnan
- J. A. Pérez-Díaz
- Guangjie Han
- Pablo H. Ibargüengoytia-González
In Electrical and Electronic Engineering
- Kristen Grauman
- Dinesh Jayaraman
- Santhosh K. Ramakrishnan
- J. A. Pérez-Díaz
- Guangjie Han
- Kemal Akkaya
- Pablo H. Ibargüengoytia-González
- J. García-Hernández
Citations in the corpus
- 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].”
- A survey on coverage and connectivity issues in wireless sensor networks (2012, background): “The deployment cannot be determined a priori when the environment is unknown or hostile in which case the sensors may be air-dropped from an aircraft (Dhillon and Chakrabarty, 2003a) or deployed by other means generally resulting in a random placement (Howard et al., 2002).”
- 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].”
- Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches (2019, background): “The development of self-organisation strategies has become an important research issue in WSNs. Sensor nodes are smart enough to autonomously reorganise themselves to share sensing and data transmission tasks when some nodes fail.”
- Energy-efficient deployment of Intelligent Mobile sensor networks (2005, background): “One can envisage an application involving a hazardous region, where sensors mounted on mobile robots are deployed from an airborne vehicle [6].”
- Wireless Sensor Networks and Applications: a Survey (2007, methodology): “Overall, the routing techniques were classified into three categories based on the underlying network structure: flit, hierarchical, and location-based routing.”
- Coverage problems in sensor networks: A survey (2011, methodology): “2002; Dhillon and Chakrabarty 2003; Zou and Chakrabarty 2004b; Zhang et al. 2006; Stolkin et al. 2007; Stolkin and Florescu 2009].”
- Strategies and techniques for node placement in wireless sensor networks: A survey (2008, background): “To tackle such complexity, several heuristics have been proposed to find sub-optimal solutions [7][10][11][12].”