A load balancing data aggregation scheme for grid-based wireless sensor networks

  • Authors:
  • Neng-Chung Wang;Shih-Chien Chang

  • Affiliations:
  • Department of Computer Science and Information Engineering National United University, Miao-Li 360, Taiwan, China;Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 413, Taiwan, China

  • Venue:
  • International Journal of Ad Hoc and Ubiquitous Computing
  • Year:
  • 2013

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Abstract

Wireless sensor networks WSNs consist of a large number of sensor nodes that are randomly deployed in a region of interest. In WSNs, sink mobility brings new challenges to large-scale sensor networks. Almost all of the energy-aware routing protocols that have been proposed for WSNs aim at optimising network performance while relaying data to a stationary sink. However, through such contemporary protocols, mobility of the sink can make established routes unstable. In this paper, a dual-tree-based data aggregation DTDA scheme for grid-based WSNs is proposed. The goal is to establish dual trees a dual-tree that have an approximate number of nodes for data aggregation. Simulation results show that the proposed DTDA minimises energy consumption and evenly distributes load to prolong network lifetime.