Most Power Reliable Paths Algorithm for Maximizing the Lifetime of Energy Constrained Sensor Networks

  • Authors:
  • Moonseong Kim;Hyunseung Choo;Won Kim

  • Affiliations:
  • School of Information and Communication Engineering, Sungkyunkwan University, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Korea

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
  • Year:
  • 2007

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Abstract

In wireless sensor networks, maximizing battery life (network lifetime), and thus the number of messages the networks can support (network capacity), is a key issue. In this paper, we propose an algorithm, called Most Power Reliable Paths (MoPoRePa), for on-line message routing in energy constrained wireless sensor networks. The time complexity of MoPoRePa is significantly lower than the well-known max min zP min algorithm. Moreover, simulation studies show that MoPoRePa about 14.75 % and 8.05 % improvement over the max min zP min algorithm in terms of network capacity and the network lifetime, respectively.