Sensors 2014, 14(2), 2619-2643; doi:10.3390/s140202619
Article

Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks

1email, 2email, 3,* email and 4email
Received: 2 November 2013; in revised form: 20 January 2014 / Accepted: 24 January 2014 / Published: 7 February 2014
(This article belongs to the Section Sensor Networks)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices’ battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study based on simulations was conducted to answer these questions. The obtained results help identify suitable mobile computing scenarios where the prediction of topology control messages can be used to save energy of the network nodes. These results also allow estimating the percentage of energy saving that can be expected, according to the features of the work scenario and the participants behavior. Designers of mobile collaborative applications that involve participatory or opportunistic sensing, can take advantage of these findings to increase the autonomy of their solutions.
Keywords: human-centric wireless sensor network; energy consumption; topology control messages; message prediction; participatory sensing; opportunistic sensing
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MDPI and ACS Style

Meseguer, R.; Molina, C.; Ochoa, S.F.; Santos, R. Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks. Sensors 2014, 14, 2619-2643.

AMA Style

Meseguer R, Molina C, Ochoa SF, Santos R. Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks. Sensors. 2014; 14(2):2619-2643.

Chicago/Turabian Style

Meseguer, Roc; Molina, Carlos; Ochoa, Sergio F.; Santos, Rodrigo. 2014. "Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks." Sensors 14, no. 2: 2619-2643.

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