Energy-efficient data acquisition for accurate signal estimation in wireless sensor networks

Li, Xun, Merrett, Geoff V. and White, Neil M. (2013) Energy-efficient data acquisition for accurate signal estimation in wireless sensor networks EURASIP Journal on Wireless Communications and Networking, 2013, (230), pp. 1-15. (doi:10.1186/1687-1499-2013-230).


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Long?term monitoring of an environment is a fundamental requirement for most wireless sensor networks. Owing to the fact that the sensor nodes have limited energy budget, prolonging their lifetime is essential in order to permit long?term monitoring. Furthermore, many applications require sensor nodes to obtain an accurate estimation of a point?source signal (for example, an animal call or seismic activity). Commonly, multiple sensor nodes simultaneously sample and then cooperate to estimate the event signal. The selection of cooperation nodes is important to reduce the estimation error while conserving the network’s energy. In this paper, we present a novel method for sensor data acquisition and signal estimation, which considers estimation accuracy, energy conservation, and energy balance. The method, using a concept of ‘virtual clusters,’ forms groups of sensor nodes with the same spatial and temporal properties. Two algorithms are used to provide functionality. The ‘distributed formation’ algorithm automatically forms and classifies the virtual clusters. The ‘round robin sample scheme’ schedules the virtual clusters to sample the event signals in turn. The estimation error and the energy consumption of the method, when used with a generalized sensing model, are evaluated through analysis and simulation. The results show that this method can achieve an improved signal estimation while reducing and balancing energy consumption.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1186/1687-1499-2013-230
Additional Information: This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISSNs: 1687-1472 (print)
Related URLs:
Keywords: Wireless sensor networks Spatial correlation Virtual cluster Energy balance
Organisations: Electronic & Software Systems, EEE
ePrint ID: 358051
Date :
Date Event
19 January 2013Submitted
15 August 2013Accepted/In Press
14 September 2013Published
Date Deposited: 30 Sep 2013 07:57
Last Modified: 17 Apr 2017 14:53
Further Information:Google Scholar

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