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Connectivity, Coverage and Placement in Wireless Sensor Networks

1
ARC Special Research Centre for Ultra-Broadband Information Networks (CUBIN), University of Melbourne, Parkville 3010, Australia
2
Centre for Advanced Internet Architectures (CAIA), Swinburne University of Technology, Melbourne, Australia
3
School of Computer Engineering, Nanyang Technological University, 639798 Singapore
4
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong
5
Department of Engineering Science, National Cheng Kung University, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2009, 9(10), 7664-7693; https://doi.org/10.3390/s91007664
Received: 25 August 2009 / Revised: 25 September 2009 / Accepted: 25 September 2009 / Published: 28 September 2009
(This article belongs to the Special Issue Wireless Sensor Technologies and Applications)
Wireless communication between sensors allows the formation of flexible sensor networks, which can be deployed rapidly over wide or inaccessible areas. However, the need to gather data from all sensors in the network imposes constraints on the distances between sensors. This survey describes the state of the art in techniques for determining the minimum density and optimal locations of relay nodes and ordinary sensors to ensure connectivity, subject to various degrees of uncertainty in the locations of the nodes. View Full-Text
Keywords: wireless sensor networks; connectivity; coverage; relay placement; percolation theory wireless sensor networks; connectivity; coverage; relay placement; percolation theory
MDPI and ACS Style

Li, J.; Andrew, L.L.; Foh, C.H.; Zukerman, M.; Chen, H.-H. Connectivity, Coverage and Placement in Wireless Sensor Networks. Sensors 2009, 9, 7664-7693.

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