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A Hexagon Tessellation Approach for the Transmission Energy Efficiency in Underwater Wireless Sensor Networks

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The energy efficiency is a key design issue to improve the lifetime of the underwater sensor networks (UWSN) consisting of sensor nodes equipped with a small battery of limited energy resource. In this paper, we apply a hexagon tessellation with an ideal cell size to deploy the underwater sensor nodes for two-dimensional UWSN. Upon this setting, we propose an enhanced hybrid transmission method that forwards data packets in a mixed transmission way based on location dependent direct transmitting or uniform multi-hop forwarding. In order to select direct transmitting or uniform multi-hop forwarding, the proposed method applies the threshold annulus that is defined as the distance between the cluster head node and the base station (BS). Our simulation results show that the proposed method enhances the energy efficiency compared with the existing multi-hop forwarding methods and hybrid transmission methods

Abstract

The energy efficiency is a key design issue to improve the lifetime of the underwater sensor networks (UWSN) consisting of sensor nodes equipped with a small battery of limited energy resource. In this paper, we apply a hexagon tessellation with an ideal cell size to deploy the underwater sensor nodes for two-dimensional UWSN. Upon this setting, we propose an enhanced hybrid transmission method that forwards data packets in a mixed transmission way based on location dependent direct transmitting or uniform multi-hop forwarding. In order to select direct transmitting or uniform multi-hop forwarding, the proposed method applies the threshold annulus that is defined as the distance between the cluster head node and the base station (BS). Our simulation results show that the proposed method enhances the energy efficiency compared with the existing multi-hop forwarding methods and hybrid transmission methods

참고문헌 (16)

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  2. E. Cayirci, "Wireless sensor networks for underwater surveillance systems", Ad Hoc Networks
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  8. Y. Xu, "Geography-Informed Energy Conservation for Ad Hoc Routing", Proc. Seventh Ann. Mobile Computing and Networking (2001)
  9. M. Zorzi, "Geographic random forwarding (GeRaF) for adhoc and sensor networks: multihop performance", IEEE Transactions on Mobile Computing, 2 (2003)
  10. Underwater sensor networking: Research challenges and potential applications, "J, Heidemann", Tech. Rep, ~, pp.ISI-TR-2005-603 (2005)
  11. I. F. Akyildiz, "Challenges for Efficient Communication in Underwater Acoustic Sensor Net-works", ACM Sigbed Review, 1(2) (2004)
  12. I. F. Akyildiz, "Underwater Acoustic Sensor Networks: Research Challenges", Elsevier's Journal of Ad Hoc Networks, 3(3), pp.257~279 (2005)
  13. R.J.Urick, "Principles of Underwater Sound" (1983), Mcgraw-Hill
  14. R. Jurdak, "Battery lifetime estimation and optimization for underwater sensor networks", IEEE Sensor Network Operations (2004)
  15. Q. Xue, "Maximizing sensor network lifetime: Analysis and design guides", Proceed-ings of MILCOM (2004)

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