Efficient gossiping dissemination in mobile peer-to-peer environment based on neighborhood detection

Yu Jen Lin, Bo Heng Chen, Kun-Ta Chuang, Chao-Chun Chen

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

Abstract

We in this paper explore a new data dissemination framework in Mobile P2P networks based on neighborhood detection. Previous works in the literature usually elaborated upon the reduction of amount of messages disseminated in the network. However, an important and practical issue remains unresolved. The success of the system design usually relies on the support of other internal sensors such as GPS and accelerator, causing the extra power consumption. In this paper, we propose the NCS framework (standing for Neighborhood Conscious Scheme), which observes user’s neighborhood situation for estimating the surrounding environment without using any internal sensor. In our method, NCS not only achieves the low power consumption but also reduces unnecessary redundant messages as compared to the state-of the-art solution.

Original languageEnglish
Title of host publicationTrends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops
Subtitle of host publicationDANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA, Revised Selected Papers
EditorsWen-Chih Peng, Haixun Wang, Zhi-Hua Zhou, Tu Bao Ho, Vincent S. Tseng, Arbee L.P. Chen, James Bailey
PublisherSpringer Verlag
Pages156-167
Number of pages12
ISBN (Electronic)9783319131856
DOIs
Publication statusPublished - 2014 Jan 1
EventInternational Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014 - Tainan, Taiwan
Duration: 2014 May 132014 May 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8643
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014
CountryTaiwan
CityTainan
Period14-05-1314-05-16

Fingerprint

Gossiping
Peer to Peer
Electric power utilization
Power Consumption
Sensors
Particle accelerators
Internal
Global positioning system
Data Dissemination
Wireless networks
Sensor
P2P Network
Systems analysis
Mobile Networks
Accelerator
System Design
Framework

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lin, Y. J., Chen, B. H., Chuang, K-T., & Chen, C-C. (2014). Efficient gossiping dissemination in mobile peer-to-peer environment based on neighborhood detection. In W-C. Peng, H. Wang, Z-H. Zhou, T. B. Ho, V. S. Tseng, A. L. P. Chen, & J. Bailey (Eds.), Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA, Revised Selected Papers (pp. 156-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8643). Springer Verlag. https://doi.org/10.1007/978-3-319-13186-3_15
Lin, Yu Jen ; Chen, Bo Heng ; Chuang, Kun-Ta ; Chen, Chao-Chun. / Efficient gossiping dissemination in mobile peer-to-peer environment based on neighborhood detection. Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA, Revised Selected Papers. editor / Wen-Chih Peng ; Haixun Wang ; Zhi-Hua Zhou ; Tu Bao Ho ; Vincent S. Tseng ; Arbee L.P. Chen ; James Bailey. Springer Verlag, 2014. pp. 156-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Lin, YJ, Chen, BH, Chuang, K-T & Chen, C-C 2014, Efficient gossiping dissemination in mobile peer-to-peer environment based on neighborhood detection. in W-C Peng, H Wang, Z-H Zhou, TB Ho, VS Tseng, ALP Chen & J Bailey (eds), Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8643, Springer Verlag, pp. 156-167, International Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, Tainan, Taiwan, 14-05-13. https://doi.org/10.1007/978-3-319-13186-3_15

Efficient gossiping dissemination in mobile peer-to-peer environment based on neighborhood detection. / Lin, Yu Jen; Chen, Bo Heng; Chuang, Kun-Ta; Chen, Chao-Chun.

Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA, Revised Selected Papers. ed. / Wen-Chih Peng; Haixun Wang; Zhi-Hua Zhou; Tu Bao Ho; Vincent S. Tseng; Arbee L.P. Chen; James Bailey. Springer Verlag, 2014. p. 156-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8643).

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

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AB - We in this paper explore a new data dissemination framework in Mobile P2P networks based on neighborhood detection. Previous works in the literature usually elaborated upon the reduction of amount of messages disseminated in the network. However, an important and practical issue remains unresolved. The success of the system design usually relies on the support of other internal sensors such as GPS and accelerator, causing the extra power consumption. In this paper, we propose the NCS framework (standing for Neighborhood Conscious Scheme), which observes user’s neighborhood situation for estimating the surrounding environment without using any internal sensor. In our method, NCS not only achieves the low power consumption but also reduces unnecessary redundant messages as compared to the state-of the-art solution.

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Lin YJ, Chen BH, Chuang K-T, Chen C-C. Efficient gossiping dissemination in mobile peer-to-peer environment based on neighborhood detection. In Peng W-C, Wang H, Zhou Z-H, Ho TB, Tseng VS, Chen ALP, Bailey J, editors, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA, Revised Selected Papers. Springer Verlag. 2014. p. 156-167. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-13186-3_15