Abstract
Efficient scheduling of nodes for an application is critical for achieving high performance in AD hoc network positioning System. The node scheduling has been shown to be NP complete in general case and also in several restricted cases. The paper introduces a novel framework for node scheduling problem based on Ant colony optimization (ACO). The performance of the algorithm is demonstrated by a Matlab program for producing effective schedules for random node sets.
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Mao, J., Li, H. (2012). Task Scheduling in AD Hoc Network Positioning System Using Ant Colony Optimization. In: Zhao, M., Sha, J. (eds) Communications and Information Processing. Communications in Computer and Information Science, vol 289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31968-6_12
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DOI: https://doi.org/10.1007/978-3-642-31968-6_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31967-9
Online ISBN: 978-3-642-31968-6
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