A correction was published on 26 October 2011, see Sensors 2011, 11(11), 10165.

Sensors 2011, 11(8), 8180-8202; doi:10.3390/s110808180

LinkMind: Link Optimization in Swarming Mobile Sensor Networks

Received: 13 June 2011; in revised form: 12 August 2011 / Accepted: 15 August 2011 / Published: 23 August 2011
(This article belongs to the Special Issue Bioinspired Sensor Systems)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: A swarming mobile sensor network is comprised of a swarm of wirelessly connected mobile robots equipped with various sensors. Such a network can be applied in an uncertain environment for services such as cooperative navigation and exploration, object identification and information gathering. One of the most advantageous properties of the swarming wireless sensor network is that mobile nodes can work cooperatively to organize an ad-hoc network and optimize the network link capacity to maximize the transmission of gathered data from a source to a target. This paper describes a new method of link optimization of swarming mobile sensor networks. The new method is based on combination of the artificial potential force guaranteeing connectivities of the mobile sensor nodes and the max-flow min-cut theorem of graph theory ensuring optimization of the network link capacity. The developed algorithm is demonstrated and evaluated in simulation.
Keywords: optimization; max-flow min-cut; robot swarms; sensor network; line-of-sight communication
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MDPI and ACS Style

Ngo, T.D. LinkMind: Link Optimization in Swarming Mobile Sensor Networks. Sensors 2011, 11, 8180-8202.

AMA Style

Ngo TD. LinkMind: Link Optimization in Swarming Mobile Sensor Networks. Sensors. 2011; 11(8):8180-8202.

Chicago/Turabian Style

Ngo, Trung Dung. 2011. "LinkMind: Link Optimization in Swarming Mobile Sensor Networks." Sensors 11, no. 8: 8180-8202.

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