Crowd-Based Mobile Sensor Cloud Services-Issues, Challenges, and Needs

被引：0
|
作者：
Gao, Jerry [1 ]
Zhao, Jing [1 ]
Yin, Xiaojun [2 ]
Chen, Sean [3 ]
Huang, Jesse [3 ]
机构：
[1] San Jose State Univ, San Jose, CA 95192 USA
[2] Shihezi Univ, Shihezi, Peoples R China
[3] FutureWei, San Jose, CA USA
来源：
PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI) | 2017年
关键词：
Mobile sensor; Crowd-based; Cloud Services; Sensor cloud;
D O I：
10.1109/CSCI.2017.107
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As an important part of IoT infrastructures, sensors have become essential elements of today and future connected smart world. The fast advance of sensor and mobile sensor technologies and the increasing deployments of connected sensor networks bring a strong demand and many business opportunities in develop new mobile sensor cloud infrastructures and related services applications. Mobile sensor clouds based on crowd sensors from users is one of them. This paper focuses on this topic by discussing the trend and opportunities first. Then it presents an overview of crowd-based mobile sensors in terms of its concepts, features, process and applications. Moreover, it discusses a reference infrastructure on a crowd-based mobile sensor cloud. Finally, it discussed its issues, challenges and needs.
引用
下载
收藏
页码：618 / 623
页数：6
相关论文
共 50 条
  • [1] Mobile Cloud Computing Research - Issues, Challenges, and Needs
    Chang, Ruay-Shiung
    Gao, Jerry
    Gruhn, Volker
    He, Jingsha
    Roussos, George
    Tsai, Wei-Tek
    2013 IEEE SEVENTH INTERNATIONAL SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING (SOSE 2013), 2013, : 442 - 453
  • [2] Survey on Crowd-based Mobile App Testing
    Liu, Ying
    Zhang, Tao
    Cheng, Jing
    ICMLC 2019: 2019 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING, 2019, : 521 - 527
  • [3] CHALLENGES IN CROWD-BASED VIDEO QUALITY ASSESSMENT
    Keimel, Christian
    Habigt, Julian
    Diepold, Klaus
    2012 FOURTH INTERNATIONAL WORKSHOP ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX), 2012, : 13 - 18
  • [4] Mobile Cloud Enabled Sensor Services: Opportunities, Challenges and Approaches
    Lawson, Victor
    Kumar, Vinay
    Ramaswamy, Lakshmish
    2015 IEEE THIRD INTERNATIONAL CONFERENCE ON MOBILE SERVICES MS 2015, 2015, : 292 - 297
  • [5] Research Efforts and Challenges in Crowd-based Requirements Engineering: A Review
    Abdullah, Rosmiza Wahida
    Ahmad, Sabrina
    Asmai, Siti Azirah
    Lee, Seok-Won
    Zain, Zarina Mat
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (09) : 395 - 402
  • [6] Security Issues and Challenges of Mobile Cloud Computing
    Shahzad, Abid
    Hussain, Mureed
    INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2013, 6 (06): : 37 - 49
  • [7] A Review on Mobile Cloud Computing Interoperability Issues and Challenges
    Debbarma, Tribid
    Chandrasekaran, K.
    INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES, ICICCT 2019, 2020, 89 : 325 - 333
  • [8] A Crowd-Based Explosive Detection System with Two-Level Feedback Sensor Calibration
    Yang, Chengmo
    Cronin, Patrick
    Agambayev, Agamyrat
    Ozev, Sule
    Cetin, A. Enis
    Orailoglu, Alex
    2020 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED-DESIGN (ICCAD), 2020,
  • [9] SECURITY IN FUTURE MOBILE SENSOR NETWORKS Issues and Challenges
    Stavrou, Eliana
    Pitsillides, Andreas
    Hadjichristofi, George
    Hadjicostis, Christoforos
    SECRYPT 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY, 2010, : 278 - 286
  • [10] A Review in Security Issues and Challenges on Mobile Cloud Computing (MCC)
    Muhseen, Shirin Abdul S.
    Elameer, Amer S.
    2018 1ST ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION AND SCIENCES (AICIS 2018), 2018, : 133 - 139
12345