Low latency and energy efficient routing tree for wireless sensor networks with multiple mobile sinks

  • Authors:
  • Seung-Wan Han;In-Seon Jeong;Seung-Ho Kang

  • Affiliations:
  • Cyber Security-Convergence Research Laboratory, Electronics and Telecommunications Research Institute, 218 Gajeongno, Yuseong-gu, Daejeon 305-700, Republic of Korea;Genomics Division, National Academy of Agricultural Science, 150 Suin-ro, Seodun-dong Gwonseon-gu, Suwon 441-707, Republic of Korea;Division of Fusion and Convergence of Mathematical Sciences, National Institute for Mathematical Sciences, KT Daedeok 2 Research Center, 463-1 Jeonmin-dong, Yuseong-gu, Daejeon 305-811, Republic o ...

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose the minimum Wiener index spanning tree (MWST) as a routing topology that is suitable for sensor networks with multiple mobile base nodes. However, it was proved that finding a spanning tree with the minimum Wiener index from a weighted graph is NP-hard. To address this problem and analyze the effectiveness of the MWST as the routing tree on sensor networks with multiple mobile base nodes, we designed two algorithms: a branch and bound algorithm for small-scale wireless sensor networks and a simulated annealing algorithm for large-scale wireless sensor networks. The simulation results show that MWST outperforms the minimum spanning tree (MST), one of the representative spanning trees used in many routing protocols for sensor networks, in terms of energy efficiency and packet delay.