Abstract
In this paper, we consider the use of multiple mobile software agents to perform different tasks in wireless sensor networks (WSNs). To this regard, determining the number of mobile agents in the WSN remains an open issue in solving multi-agent itinerary planning (MIP) problem. We propose a novel scheme entitled MST-MIP based on minimum spanning tree, where each branch stemmed from the sink corresponds to a group of source nodes assigned for a mobile agent to visit. Furthermore, a balancing factor α is introduced to achieve a flexible trade-off control between energy cost and task duration, and the balancing MST-MIP algorithm is named BST-MIP. Extensive experiments show that MST-MIP has lower energy consumption than previous MIP proposals, while BST-MIP decreases the task duration up to 50%.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Chen, M., Cai, W., Gonzalez, S., Leung, V.C.M. (2010). Balanced Itinerary Planning for Multiple Mobile Agents in Wireless Sensor Networks. In: Zheng, J., Simplot-Ryl, D., Leung, V.C.M. (eds) Ad Hoc Networks. ADHOCNETS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17994-5_28
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DOI: https://doi.org/10.1007/978-3-642-17994-5_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17993-8
Online ISBN: 978-3-642-17994-5
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