Energy Efficiency on Location Based Applications in Mobile Cloud Computing: A Survey

被引:25
|
作者
Ma, Xiao [1 ]
Cui, Yong [1 ]
Stojmenovic, Ivan [2 ]
机构
[1] Tsinghua Univ, Dept Comp Sci, Beijing 100084, Peoples R China
[2] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada
来源
ANT 2012 AND MOBIWIS 2012 | 2012年 / 10卷
基金
加拿大自然科学与工程研究理事会;
关键词
Mobile; Cloud computing; Location based service; Energy-efficiency;
D O I
10.1016/j.procs.2012.06.074
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the emergence of mobile cloud computing (MCC), an increasingly number of applications and services becomes available on mobile devices. In the meantime, the constrained battery power of mobile devices makes a serious impact on user experience. As one increasingly prevalent type of applications in mobile cloud environments, location based applications (LBAs) present some inherent limitations surrounding energy. For example, the GPS (Global Positioning System) based positioning mechanism is well-known to be extremely power-hungry. Due to the severity of the issue, considerable researches have been devoted to energy-efficient locating sensing mechanism in the last few years. These efforts toward enhancing energy efficiency have allowed us to provide a comprehensive survey of recent work on low-power design of LBAs. (C) 2011 Published by Elsevier Ltd.
引用
收藏
页码:577 / 584
页数:8
相关论文
共 50 条
  • [1] Energy efficiency on location based applications in mobile cloud computing: a survey
    Wang, Lian
    Cui, Yong
    Stojmenovic, Ivan
    Ma, Xiao
    Song, Jian
    COMPUTING, 2014, 96 (07) : 569 - 585
  • [2] Energy efficiency on location based applications in mobile cloud computing: a survey
    Lian Wang
    Yong Cui
    Ivan Stojmenovic
    Xiao Ma
    Jian Song
    Computing, 2014, 96 : 569 - 585
  • [3] Mobile cloud computing based privacy protection in location-based information survey applications
    Zhang, Hao
    Yu, Nenghai
    Wen, Yonggang
    SECURITY AND COMMUNICATION NETWORKS, 2015, 8 (06) : 1006 - 1025
  • [4] Applications of Mobile Cloud Computing: A Survey
    Arun, C.
    Prabu, K.
    2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2017, : 1037 - 1041
  • [5] Cloud Computing: Survey on Energy Efficiency
    Mastelic, Toni
    Oleksiak, Ariel
    Claussen, Holger
    Brandic, Ivona
    Pierson, Jean-Marc
    Vasilakos, Athanasios V.
    ACM COMPUTING SURVEYS, 2015, 47 (02)
  • [6] Energy Efficiency Based Resource Schedule in Mobile Cloud Computing
    Wang, Xinkun
    Luo, Diansheng
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2015, 12 (02) : 239 - 243
  • [7] Energy efficiency in Mobile Cloud Computing Architectures
    Thinh Le Vinh
    Pallavali, Reddy
    Houacine, Fatiha
    Bouzefrane, Samia
    2016 IEEE 4TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD WORKSHOPS (FICLOUDW), 2016, : 326 - 331
  • [8] A Survey of Mobile Cloud Computing for Extending Energy of Mobile Devices
    Thanapal, P.
    Durai, Saleem M. A.
    ADVANCEMENTS IN AUTOMATION AND CONTROL TECHNOLOGIES, 2014, 573 : 549 - +
  • [9] A Survey of Mobile Cloud Computing Applications: Perspectives and Challenges
    Wang, Yating
    Chen, Ing-Ray
    Wang, Ding-Chau
    WIRELESS PERSONAL COMMUNICATIONS, 2015, 80 (04) : 1607 - 1623
  • [10] A SURVEY OF MOBILE CLOUD COMPUTING FOR RICH MEDIA APPLICATIONS
    Xu, Yi
    Mao, Shiwen
    IEEE WIRELESS COMMUNICATIONS, 2013, 20 (03) : 46 - 53