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

Authors: Neng-Chung Wang; Shih-Chien Chang

Addresses: 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

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.

Keywords: data aggregation; network lifetime; sink mobility; wireless sensor networks; grid-based WSNs; load balancing; dual trees; simulation; energy consumption.

DOI: 10.1504/IJAHUC.2013.058503

International Journal of Ad Hoc and Ubiquitous Computing, 2013 Vol.14 No.4, pp.279 - 287

Received: 13 Feb 2012
Accepted: 19 Nov 2012
Published online: 01 Jan 2014 *

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