Sensor deployment strategy for target detection

By T. Clouqueur, Veradej Phipatanasuphorn, P. Ramanathan, K. Saluja. ACM International Conference on Wireless Sensor Networks and Applications, 2002

414 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/01cb625e99fb608a6bcd8b9385cc258d4c52ed2d

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Spatial correlation-based collaborative medium access control in wireless sensor networks (2006, background): “Typical WSN applications require spatially dense sensor deployment in order to achieve satisfactory coverage [3], [12].”
Movement-assisted sensor deployment (2004, background): “Sensor nodes must be deployed appropriately to reach an adequate coverage level for the successful completion of the issued sensing tasks [5], [21].”
A survey on coverage and connectivity issues in wireless sensor networks (2012, background): “To tackle such complexity, several heuristics have been proposed to find sub-optimal solutions (Efrat et al., 2005; Pan et al., 2005; Dhillon and Chakrabarty, 2003b; Clouqueur et al., 2002).”
A study of the coverage of large-scale sensor networks (2004, methodology): “Both models have been widely used in the literature [5], [6], [7], [ 9 ], [10].”
Integrated coverage and connectivity configuration in wireless sensor networks (2003, methodology): “In [5], sensor deployment strategies were investigated to provide sufficient coverage for distributed detection.”
Coverage and connectivity issues in wireless sensor networks: A survey (2008, methodology): “Further to the methods of calculating the minimal exposure path, the Unauthorized Traversal problem proposed in [15] is relevant.”
A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks (2005, background): “Wireless sensor nodes perform collaborative sensing [34] via wireless communication channels to retrieve information about targets that appear in the sensor field.”
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].”
Sensor relocation in mobile sensor networks (2005, background): “In order to properly sense the phenomena of interest, sensor nodes must be deployed appropriately to reach an adequate coverage level for the successful completion of the issued sensing tasks [5], [14].”
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms (2004, methodology): “In particular, in [18, 19] the network was modeled as a grid and the shortest path algorithm was used to to find the path with the worst-case coverage and it was also solved using Voronoi diagram in [20].”
Mobility improves coverage of sensor networks (2005, background): “While the coverage of a sensor network with immobile sensors has been extensively explored and is relatively well understood [12, 8, 9, 3 , 7], reseachers have only recently started to study the coverage of mobile sensor networks.”
Strategies and techniques for node placement in wireless sensor networks: A survey (2008, background): “Clouqueur et al. also studied the problem of pop-ulating an area of interest with the least number of sensors so that targets can be detected with the highest probability [12].”
Spatio-temporal correlation: theory and applications for wireless sensor networks (2004, background): “Typical WSN applications require spatially dense sensor deployment in order to achieve satisfactory coverage [4,11].”