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Energy-aware topology control strategy for human-centric wireless sensor networks.

Meseguer R, Molina C, Ochoa SF, Santos R - Sensors (Basel) (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Architecture, Universitat Polit├Ęcnica de Catalunya, Barcelona 08034, Spain. meseguer@ac.upc.edu.

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.

No MeSH data available.


Related in: MedlinePlus

Energy consumption when nodes follow a RPGM model.
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f14-sensors-14-02619: Energy consumption when nodes follow a RPGM model.

Mentions: The results obtained in the scenario of narrow shape, when the nodes move according to a Nomadic or a RPGM model, are almost identical. Here we can also see that the groups were isolated most of the time and they had some sporadic encounters with each other. Figures 14 and 15 present evidence of this. Considering that each group has (in average) four members, the network degree indicates that in the best case the network was split in several sub-networks composed just of two groups.


Energy-aware topology control strategy for human-centric wireless sensor networks.

Meseguer R, Molina C, Ochoa SF, Santos R - Sensors (Basel) (2014)

Energy consumption when nodes follow a RPGM model.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3958264&req=5

f14-sensors-14-02619: Energy consumption when nodes follow a RPGM model.
Mentions: The results obtained in the scenario of narrow shape, when the nodes move according to a Nomadic or a RPGM model, are almost identical. Here we can also see that the groups were isolated most of the time and they had some sporadic encounters with each other. Figures 14 and 15 present evidence of this. Considering that each group has (in average) four members, the network degree indicates that in the best case the network was split in several sub-networks composed just of two groups.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Architecture, Universitat Polit├Ęcnica de Catalunya, Barcelona 08034, Spain. meseguer@ac.upc.edu.

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.

No MeSH data available.


Related in: MedlinePlus