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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 Politècnica 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

Potential interaction scenario in a pedestrian promenade.
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f3-sensors-14-02619: Potential interaction scenario in a pedestrian promenade.

Mentions: The second scenario is also an open area, similar to a pedestrian promenade, but represented by a rectangle of 30 × 3,000 m. In such a scenario the people can stay for a while (e.g., sharing a drink) or walking through the area (Figure 3). In this place, most pedestrian movements follow a pathway, and people can move in both directions. Both interaction scenarios have the same size (90,000 square meters), which allows us study the influence of the area shape on energy consumption, by keeping the same node density in the interaction space.


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

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

Potential interaction scenario in a pedestrian promenade.
© Copyright Policy
Related In: Results  -  Collection

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

f3-sensors-14-02619: Potential interaction scenario in a pedestrian promenade.
Mentions: The second scenario is also an open area, similar to a pedestrian promenade, but represented by a rectangle of 30 × 3,000 m. In such a scenario the people can stay for a while (e.g., sharing a drink) or walking through the area (Figure 3). In this place, most pedestrian movements follow a pathway, and people can move in both directions. Both interaction scenarios have the same size (90,000 square meters), which allows us study the influence of the area shape on energy consumption, by keeping the same node density in the interaction space.

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 Politècnica 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