A credit-aware clustering scheme for the proximate sharing of geo data downloading

Chung Ming Huang, Duy Tuan Dao, Ping Yi Lu

研究成果: Conference contribution

摘要

Mobile Social Network (MSN) can enable many services, such as letting people in an MSN share some useful information during the touring journey. In this work, a clustering scheme is proposed to allow a group of persons, who are in the same MSN and are within the WiFi hot spot' signal coverage of the cluster leader who enables his handheld device's WiFi hot spot function, to share the nearby Point Of Interests' (POIs') data that are downloaded by the cluster leader through his handheld device's 3G/3.5G/4G cellular network interface. That is, it belongs to the proximate sharing of Location-based Service (LBS) data downloading. This work adopts an MSN-based mechanism to organize touring groups in which each group's leader can share his downloaded POIs' data with his group members. A credit-based clustering scheme was proposed to organize a group of users who belong to the MSN and are nearby with each other for a while during their touring journey. In this way, the group leader can get some credits and each group member needs to pay some credits to motivate persons to have the sharing and reach the goal of fairness. Our proposed scheme not only can reach the fairness for the credit concern but also can more evenly distribute power consumption and reduce the power consumption according to the performance analysis.

原文English
主出版物標題2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-6
頁數6
ISBN(電子)9781509067961
DOIs
出版狀態Published - 2017 十二月 15
事件27th International Telecommunication Networks and Applications Conference, ITNAC 2017 - Melbourne, Australia
持續時間: 2017 十一月 222017 十一月 24

出版系列

名字2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017
2017-January

Other

Other27th International Telecommunication Networks and Applications Conference, ITNAC 2017
國家Australia
城市Melbourne
期間17-11-2217-11-24

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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  • 引用此

    Huang, C. M., Dao, D. T., & Lu, P. Y. (2017). A credit-aware clustering scheme for the proximate sharing of geo data downloading. 於 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017 (頁 1-6). (2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017; 卷 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ATNAC.2017.8215357