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Self-organizing distributed architecture supporting dynamic space expanding and reducing in indoor LBS environment.

Jeong SY, Jo HG, Kang SJ - Sensors (Basel) (2015)

Bottom Line: This paper proposes a self-organizing and fully distributed platform for iLBSs.The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically.In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

View Article: PubMed Central - PubMed

Affiliation: School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, Korea. snowflower@ee.knu.ac.kr.

ABSTRACT
Indoor location-based services (iLBS) are extremely dynamic and changeable, and include numerous resources and mobile devices. In particular, the network infrastructure requires support for high scalability in the indoor environment, and various resource lookups are requested concurrently and frequently from several locations based on the dynamic network environment. A traditional map-based centralized approach for iLBSs has several disadvantages: it requires global knowledge to maintain a complete geographic indoor map; the central server is a single point of failure; it can also cause low scalability and traffic congestion; and it is hard to adapt to a change of service area in real time. This paper proposes a self-organizing and fully distributed platform for iLBSs. The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically. In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

No MeSH data available.


Related in: MedlinePlus

An example of an indoor location-based system for an office environment.
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sensors-15-12156-f001: An example of an indoor location-based system for an office environment.

Mentions: Figure 1 introduces examples of an indoor environment and opportunistic service scenario. There are numerous resource devices that are either mobile or stationary, with mobile devices like smartphones being able to request the following service examples:(1)


Self-organizing distributed architecture supporting dynamic space expanding and reducing in indoor LBS environment.

Jeong SY, Jo HG, Kang SJ - Sensors (Basel) (2015)

An example of an indoor location-based system for an office environment.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507676&req=5

sensors-15-12156-f001: An example of an indoor location-based system for an office environment.
Mentions: Figure 1 introduces examples of an indoor environment and opportunistic service scenario. There are numerous resource devices that are either mobile or stationary, with mobile devices like smartphones being able to request the following service examples:(1)

Bottom Line: This paper proposes a self-organizing and fully distributed platform for iLBSs.The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically.In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

View Article: PubMed Central - PubMed

Affiliation: School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, Korea. snowflower@ee.knu.ac.kr.

ABSTRACT
Indoor location-based services (iLBS) are extremely dynamic and changeable, and include numerous resources and mobile devices. In particular, the network infrastructure requires support for high scalability in the indoor environment, and various resource lookups are requested concurrently and frequently from several locations based on the dynamic network environment. A traditional map-based centralized approach for iLBSs has several disadvantages: it requires global knowledge to maintain a complete geographic indoor map; the central server is a single point of failure; it can also cause low scalability and traffic congestion; and it is hard to adapt to a change of service area in real time. This paper proposes a self-organizing and fully distributed platform for iLBSs. The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically. In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

No MeSH data available.


Related in: MedlinePlus