Enhancing participant selection through caching in mobile crowd sensing

Hanshang Li; Ting Li; Fan Li; Weichao Wang; Yu Wang

doi:10.1109/IWQoS.2016.7590450

Enhancing participant selection through caching in mobile crowd sensing

Hanshang Li, Ting Li, Fan Li^*, Weichao Wang, Yu Wang

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

25 Citations (Scopus)

Abstract

With the rapid increasing of smart phones and their embedded sensing technologies, mobile crowd sensing (MCS) becomes an emerging sensing paradigm for performing large-scale sensing tasks. One of the key challenges of large-scale mobile crowd sensing systems is how to effectively select the minimum set of participants from the huge user pool to perform the tasks and achieve certain level of coverage. In this paper, we introduce a new MCS architecture which leverages the cached sensing data to fulfill partial sensing tasks in order to reduce the size of selected participant set. We present a newly designed participant selection algorithm with caching and evaluate it via extensive simulations with a real-world mobile dataset.

Original language	English
Title of host publication	2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509026340
DOIs	https://doi.org/10.1109/IWQoS.2016.7590450
Publication status	Published - 13 Oct 2016
Event	24th IEEE/ACM International Symposium on Quality of Service, IWQoS 2016 - Beijing, China Duration: 20 Jun 2016 → 21 Jun 2016

Publication series

Name	2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016

Conference

Conference	24th IEEE/ACM International Symposium on Quality of Service, IWQoS 2016
Country/Territory	China
City	Beijing
Period	20/06/16 → 21/06/16

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10.1109/IWQoS.2016.7590450

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Li, H., Li, T., Li, F., Wang, W., & Wang, Y. (2016). Enhancing participant selection through caching in mobile crowd sensing. In 2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016 Article 7590450 (2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWQoS.2016.7590450

@inproceedings{98b9d088f249429cb41d9f7b97e6a249,

title = "Enhancing participant selection through caching in mobile crowd sensing",

abstract = "With the rapid increasing of smart phones and their embedded sensing technologies, mobile crowd sensing (MCS) becomes an emerging sensing paradigm for performing large-scale sensing tasks. One of the key challenges of large-scale mobile crowd sensing systems is how to effectively select the minimum set of participants from the huge user pool to perform the tasks and achieve certain level of coverage. In this paper, we introduce a new MCS architecture which leverages the cached sensing data to fulfill partial sensing tasks in order to reduce the size of selected participant set. We present a newly designed participant selection algorithm with caching and evaluate it via extensive simulations with a real-world mobile dataset.",

author = "Hanshang Li and Ting Li and Fan Li and Weichao Wang and Yu Wang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th IEEE/ACM International Symposium on Quality of Service, IWQoS 2016 ; Conference date: 20-06-2016 Through 21-06-2016",

year = "2016",

month = oct,

day = "13",

doi = "10.1109/IWQoS.2016.7590450",

language = "English",

series = "2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "United States",

}

Li, H, Li, T, Li, F, Wang, W & Wang, Y 2016, Enhancing participant selection through caching in mobile crowd sensing. in 2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016., 7590450, 2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016, Institute of Electrical and Electronics Engineers Inc., 24th IEEE/ACM International Symposium on Quality of Service, IWQoS 2016, Beijing, China, 20/06/16. https://doi.org/10.1109/IWQoS.2016.7590450

Enhancing participant selection through caching in mobile crowd sensing. / Li, Hanshang; Li, Ting; Li, Fan et al.
2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7590450 (2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Fan

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PY - 2016/10/13

Y1 - 2016/10/13

N2 - With the rapid increasing of smart phones and their embedded sensing technologies, mobile crowd sensing (MCS) becomes an emerging sensing paradigm for performing large-scale sensing tasks. One of the key challenges of large-scale mobile crowd sensing systems is how to effectively select the minimum set of participants from the huge user pool to perform the tasks and achieve certain level of coverage. In this paper, we introduce a new MCS architecture which leverages the cached sensing data to fulfill partial sensing tasks in order to reduce the size of selected participant set. We present a newly designed participant selection algorithm with caching and evaluate it via extensive simulations with a real-world mobile dataset.

AB - With the rapid increasing of smart phones and their embedded sensing technologies, mobile crowd sensing (MCS) becomes an emerging sensing paradigm for performing large-scale sensing tasks. One of the key challenges of large-scale mobile crowd sensing systems is how to effectively select the minimum set of participants from the huge user pool to perform the tasks and achieve certain level of coverage. In this paper, we introduce a new MCS architecture which leverages the cached sensing data to fulfill partial sensing tasks in order to reduce the size of selected participant set. We present a newly designed participant selection algorithm with caching and evaluate it via extensive simulations with a real-world mobile dataset.

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DO - 10.1109/IWQoS.2016.7590450

M3 - Conference contribution

AN - SCOPUS:85009727088

T3 - 2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016

BT - 2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th IEEE/ACM International Symposium on Quality of Service, IWQoS 2016

Y2 - 20 June 2016 through 21 June 2016

ER -

Enhancing participant selection through caching in mobile crowd sensing

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