Abstract
The energy cost for transmission is more expensive than receiving or sensing cost. In this paper, we propose a decentralized aggregation scheme using the Fermat points to save energy for transmitting redundant low-rate data on many-to-one flows in wireless sensor networks. It can reduce the number of transmissions needed to deliver from each source to the sink. Simulation results show that our scheme is better than the GIT (Greedy Incremental Tree) scheme in terms of the number of transmissions and network lifetime.
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Son, J., Pak, J., Kim, H., Han, K. (2007). A Decentralized Hierarchical Aggregation Scheme Using Fermat Points in Wireless Sensor Networks. In: Giacobini, M. (eds) Applications of Evolutionary Computing. EvoWorkshops 2007. Lecture Notes in Computer Science, vol 4448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71805-5_17
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DOI: https://doi.org/10.1007/978-3-540-71805-5_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71804-8
Online ISBN: 978-3-540-71805-5
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