Energy efficiency on location based applications in mobile cloud computing: a survey

被引：15
|
作者：
Wang, Lian [1 ]
Cui, Yong [1 ]
Stojmenovic, Ivan [2 ,3 ]
Ma, Xiao [1 ]
Song, Jian [1 ]
机构：
[1] Tsinghua Univ, Dept Comp Sci, Beijing 100084, Peoples R China
[2] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON, Canada
[3] Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China
来源：
COMPUTING | 2014年 / 96卷 / 07期
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：
10.1007/s00607-013-0334-0
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The constrained battery power of mobile devices poses a serious impact on user experience. As an increasingly prevalent type of applications in mobile cloud environments, location-based applications (LBAs) present some inherent limitations concerning energy. For example, the Global Positioning System based positioning mechanism is well-known for its extremely power-hungry attribute. Due to the severity of the issue, considerable researches have focused on energy-efficient locating sensing mechanism in the last a few years. In this paper, we provide a comprehensive survey of recent work on low-power design of LBAs. An overview of LBAs and different locating sensing technologies used today are introduced. Methods for energy saving with existing locating technologies are investigated. Reductions of location updating queries and simplifications of trajectory data are also mentioned. Moreover, we discuss cloud-based schemes in detail which try to develop new energy-efficient locating technologies by leveraging the cloud capabilities of storage, computation and sharing. Finally, we conclude the survey and discuss the future research directions.
引用
收藏
页码：569 / 585
页数：17
相关论文
共 50 条
  • [1] 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
  • [2] Energy Efficiency on Location Based Applications in Mobile Cloud Computing: A Survey
    Ma, Xiao
    Cui, Yong
    Stojmenovic, Ivan
    ANT 2012 AND MOBIWIS 2012, 2012, 10 : 577 - 584
  • [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] 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)
  • [5] A survey on techniques to achive energy efficiency in cloud computing
    Singh, Sobinder
    Kumar, Ajay
    Swaroop, Abhishek
    Anamika
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2016, : 1281 - 1285
  • [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 Techniques in Cloud Computing: A Survey and Taxonomy
    Kaur, Tarandeep
    Chana, Inderveer
    ACM COMPUTING SURVEYS, 2015, 48 (02)
  • [8] 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
  • [9] Smartphone Based Computing Cloud and Energy Efficiency
    Mamchych, Olexander
    Volk, Maksym
    2022 12TH INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS, SERVICES AND TECHNOLOGIES (DESSERT), 2022,
  • [10] Reliability and energy efficiency in cloud computing systems: Survey and taxonomy
    Sharma, Yogesh
    Javadi, Bahman
    Si, Weisheng
    Sun, Daniel
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 74 : 66 - 85
12345