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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 Random Walk model.
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f12-sensors-14-02619: Energy consumption when nodes follow a Random Walk model.

Mentions: In this scenario, nodes adhering to a Random Walk or SLAW model have shown an almost identical energy consumption and network behavior. This happens because the working area is too long and therefore the node encounter rate is really low. This means that most of the time the nodes are isolated, therefore they do not have to disseminate TC messages and thus they save energy. Evidence of this situation is shown in Figure 12, where we can see that the nodes have low energy consumption, regardless of the network node density.


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 Random Walk model.
© Copyright Policy
Related In: Results  -  Collection

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

f12-sensors-14-02619: Energy consumption when nodes follow a Random Walk model.
Mentions: In this scenario, nodes adhering to a Random Walk or SLAW model have shown an almost identical energy consumption and network behavior. This happens because the working area is too long and therefore the node encounter rate is really low. This means that most of the time the nodes are isolated, therefore they do not have to disseminate TC messages and thus they save energy. Evidence of this situation is shown in Figure 12, where we can see that the nodes have low energy consumption, regardless of the network node density.

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