Location-Based Service (LBS) data sharing using the k-member-limited clustering mechanism over the 4G and Wi Fi hybrid wireless mobile networks

Chung-Ming Huang, Duy Tuan Dao, Chia Ming Mai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In a group touring scenario, the group leader can enable his handheld device's Wi Fi hot spot function to let other members to connect with. Then, the group leader can download Point Of Interests' (POIs') data from the content server through 3G/3.5G/4G cellular network and then forward those downloaded data to the connected clients using Wi Fi. That is, the group leader also plays the role of a mobile proxy. Nevertheless, mobile users may move randomly such that they may leave their current group leader and move toward the other group leader. This work proposed a handoff mechanism such that mobile users can move from the currently connected Wi Fi hot spot, for which the received signal strength is becoming weak, and to a new Wi Fi hot spot/mobile proxy, for which the received signal strength is becoming stronger. Since the current handheld device only allows a limited number of handheld devices to connect with its Wi Fi hot spot, it is not so straightforward to tackle the handoff issue. This work devised a K-CAMP clustering scheme to tackle the handoff issue exists in the aforementioned group-based touring scenario.

Original languageEnglish
Title of host publication31st International Conference on Information Networking, ICOIN 2017
PublisherIEEE Computer Society
Pages526-531
Number of pages6
ISBN (Electronic)9781509051243
DOIs
Publication statusPublished - 2017 Apr 13
Event31st International Conference on Information Networking, ICOIN 2017 - Da Nang, Viet Nam
Duration: 2017 Jan 112017 Jan 13

Publication series

NameInternational Conference on Information Networking
ISSN (Print)1976-7684

Other

Other31st International Conference on Information Networking, ICOIN 2017
CountryViet Nam
CityDa Nang
Period17-01-1117-01-13

Fingerprint

Wi-Fi
Location based services
Wireless networks
Servers

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Huang, C-M., Dao, D. T., & Mai, C. M. (2017). Location-Based Service (LBS) data sharing using the k-member-limited clustering mechanism over the 4G and Wi Fi hybrid wireless mobile networks. In 31st International Conference on Information Networking, ICOIN 2017 (pp. 526-531). [7899550] (International Conference on Information Networking). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2017.7899550
Huang, Chung-Ming ; Dao, Duy Tuan ; Mai, Chia Ming. / Location-Based Service (LBS) data sharing using the k-member-limited clustering mechanism over the 4G and Wi Fi hybrid wireless mobile networks. 31st International Conference on Information Networking, ICOIN 2017. IEEE Computer Society, 2017. pp. 526-531 (International Conference on Information Networking).
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Huang, C-M, Dao, DT & Mai, CM 2017, Location-Based Service (LBS) data sharing using the k-member-limited clustering mechanism over the 4G and Wi Fi hybrid wireless mobile networks. in 31st International Conference on Information Networking, ICOIN 2017., 7899550, International Conference on Information Networking, IEEE Computer Society, pp. 526-531, 31st International Conference on Information Networking, ICOIN 2017, Da Nang, Viet Nam, 17-01-11. https://doi.org/10.1109/ICOIN.2017.7899550

Location-Based Service (LBS) data sharing using the k-member-limited clustering mechanism over the 4G and Wi Fi hybrid wireless mobile networks. / Huang, Chung-Ming; Dao, Duy Tuan; Mai, Chia Ming.

31st International Conference on Information Networking, ICOIN 2017. IEEE Computer Society, 2017. p. 526-531 7899550 (International Conference on Information Networking).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Huang C-M, Dao DT, Mai CM. Location-Based Service (LBS) data sharing using the k-member-limited clustering mechanism over the 4G and Wi Fi hybrid wireless mobile networks. In 31st International Conference on Information Networking, ICOIN 2017. IEEE Computer Society. 2017. p. 526-531. 7899550. (International Conference on Information Networking). https://doi.org/10.1109/ICOIN.2017.7899550