Computational geometry: an introduction
Computational geometry: an introduction
Introduction to algorithms
Voronoi diagrams and Delaunay triangulations
Handbook of discrete and computational geometry
Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Computational Geometry in C
A coverage-preserving node scheduling scheme for large wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems
Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems
Worst and Best-Case Coverage in Sensor Networks
IEEE Transactions on Mobile Computing
Dynamic coverage in ad-hoc sensor networks
Mobile Networks and Applications
The coverage problem in a wireless sensor network
Mobile Networks and Applications
Coverage in wireless ad hoc sensor networks
IEEE Transactions on Computers
Coverage problems in sensor networks: A survey
ACM Computing Surveys (CSUR)
The euclidean bottleneck steiner path problem
Proceedings of the twenty-seventh annual symposium on Computational geometry
Wireless Sensor Node Placement Using Hybrid Genetic Programming and Genetic Algorithms
International Journal of Intelligent Information Technologies
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Wireless sensor networks provide a wide range of applications, such as environment surveillance, hazard monitoring, traffic control, and other commercial or military applications. The quality of service provided by a sensor network relies on its coverage, i.e., how well an event can be tracked by sensors. This paper studies how to optimally deploy new sensors in order to improve the coverage of an existing network. The best- and worst-case coverage problems that are related to the observability of a path are addressed and formulated into computational geometry problems. We prove that there exists a duality between the two coverage problems, and then solve the two problems together. The presented placement algorithm is shown to deploy new nodes optimally in polynomial time.