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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

The sequence of installing or reinstalling a SLiM Hub.
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sensors-15-12156-f016: The sequence of installing or reinstalling a SLiM Hub.

Mentions: Figure 16 shows the overall sequence diagram, including the above processes for deletion and reactivation of an existing SLiM Hub. All SLiM Hubs periodically send a heartbeat message, and receive the neighbor lists in response. Via the heartbeat process, each SLiM Hub can detect deleted neighboring SLiM Hubs. Then, SLiM Hubs checking for the deleted neighbor add the existent physical SLiM Hub tagged with a redirect path to the current Neighbor List. If the deleted SLiM Hub is reactivated at the original position, the reactivated SLiM Hub runs the insertion process seen in Figure 13. In case of reactivation other than in the installing process, restoration of the old path is needed. Therefore, each SLiM Hub checks and deletes the tagged redirect paths from the current neighbor lists.


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

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

The sequence of installing or reinstalling a SLiM Hub.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-12156-f016: The sequence of installing or reinstalling a SLiM Hub.
Mentions: Figure 16 shows the overall sequence diagram, including the above processes for deletion and reactivation of an existing SLiM Hub. All SLiM Hubs periodically send a heartbeat message, and receive the neighbor lists in response. Via the heartbeat process, each SLiM Hub can detect deleted neighboring SLiM Hubs. Then, SLiM Hubs checking for the deleted neighbor add the existent physical SLiM Hub tagged with a redirect path to the current Neighbor List. If the deleted SLiM Hub is reactivated at the original position, the reactivated SLiM Hub runs the insertion process seen in Figure 13. In case of reactivation other than in the installing process, restoration of the old path is needed. Therefore, each SLiM Hub checks and deletes the tagged redirect paths from the current neighbor lists.

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