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Ant Intelligence Routing Algorithm for Wireless Sensor Networks

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Internet of Things

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 312))

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Abstract

In this paper, we present ant intelligence routing algorithm (AIRA), an adaptive, energy efficient and multiple-path protocol designed for wireless sensor networks. The primary goals of the protocol design are energy efficiency and self-organization without compromising throughput. AIRA reduces energy consumption by enabling low-duty-cycle operation and clocking neighbors to power of their radios to avoid unnecessary listening and interference during data transmission in a multihop network through adaptive sleeping technique. This greatly improves energy efficiency. It supports self-organization of individual nodes and reduces control overheads by using data packets themselves to maintain an established route for communication. Finally, AIRA applies synchronized sleeping technique to improve energy efficiency of the entire network. In an extensive set of simulations, we compare our routing algorithm with a state-of-the-art algorithm, and show that it gets better performance over a range of different scenarios.

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References

  1. Sim, K.M., Sun, W.H.: Ant colony optimization for routing and load-balancing: survey and new directions. IEEE Transn. on Systems Man and Cybernetics, Part A 33(5), 560–572 (2003)

    Article  Google Scholar 

  2. Di Caro, G., Dorigo, M.: Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 317–365 (1998)

    Google Scholar 

  3. Dorigo, M., Di Caro, G., Gambardella, L.M.: Ant algorithms for discrete optimization. Artificial Life 5(2), 137–172 (1999)

    Article  Google Scholar 

  4. Wei, Y., Heidemann, J., Estrin, D.: Medium Access Control With Coordinated Adaptive Sleeping for Wireless Sensor Networks. IEEE/ACM Transactions on Networking 12(3) (June 2004)

    Google Scholar 

  5. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification, IEEE Std. 802.11-1999

    Google Scholar 

  6. Stemm, M., Katz, R.H.: Measuring and reducing energy consumption of network interfaces in hand-held devices. IEICE Trans. Commun. E80-B(8), 1125–1131 (1997)

    Google Scholar 

  7. Kasten, O.: Energy consumption. Eldgenossische Technische Hochschule Zurich, http://www.inf.ethz.ch/~kasten/research/bathtub/energy_consumption.html

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© 2012 Springer-Verlag Berlin Heidelberg

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Karim, A., Zhang, X., Oluyemi, A.M., Fitarikandro, T. (2012). Ant Intelligence Routing Algorithm for Wireless Sensor Networks. In: Wang, Y., Zhang, X. (eds) Internet of Things. Communications in Computer and Information Science, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32427-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-32427-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32426-0

  • Online ISBN: 978-3-642-32427-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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