EnLoc: Energy-Efficient Localization for Mobile Phones

被引:102
|
作者
Constandache, Ionut
Gaonkar, Shravan
Sayler, Matt
Choudhury, Romit Roy
Cox, Landon
机构
关键词
D O I
10.1109/INFCOM.2009.5062218
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A growing number of mobile phone applications utilize physical location to express the context of information. Most of these location-based applications assume GPS capabilities. Unfortunately, GPS incurs an unacceptable energy cost that can reduce the phone's battery life to less than nine hours. Alternate localization technologies, based on WiFi or GSM, improve battery life at the expense of localization accuracy. This paper quantifies this important tradeoff that underlies a range of emerging services. Driven by measurements from Nokia N95 phones, we develop an energy-efficient localization framework called EnLoc. The framework characterizes the optimal localization accuracy for a given energy budget, and develops prediction-based heuristics for real-time use. Evaluation on traces from real users demonstrates the possibility of achieving good localization accuracy for a realistic energy budget.
引用
收藏
页码:2716 / 2720
页数:5
相关论文
共 50 条
  • [1] Energy-Efficient Collaborative Sensing with Mobile Phones
    Sheng, Xiang
    Tang, Jian
    Zhang, Weiyi
    2012 PROCEEDINGS IEEE INFOCOM, 2012, : 1916 - 1924
  • [2] LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones
    Priyantha, Bodhi
    Lymberopoulos, Dimitrios
    Liu, Jie
    IEEE PERVASIVE COMPUTING, 2011, 10 (02) : 12 - 15
  • [3] Energy-efficient cooperative localization in mobile WSN
    Taheri, Mostafa
    Motamedi, Seyed Ahmad
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2017, 12 (01) : 71 - 79
  • [4] Energy-efficient cooperative localization in mobile WSN
    Taheri, Mostafa
    Motamedi, Seyed Ahmad
    IEEJ Transactions on Electrical and Electronic Engineering, 2017, 12 (01): : 71 - 79
  • [5] Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones
    Musolesi, Mirco
    Piraccini, Mattia
    Fodor, Kristof
    Corradi, Antonio
    Campbell, Andrew T.
    PERVASIVE COMPUTING, PROCEEDINGS, 2010, 6030 : 355 - +
  • [6] Using Home Routers as Proxies for Energy-Efficient BitTorrent Downloads to Mobile Phones
    Kelenyi, Imre
    Ludanyi, Akos
    Nurminen, Jukka K.
    IEEE COMMUNICATIONS MAGAZINE, 2011, 49 (06) : 142 - 147
  • [7] Energy-Efficient Transmission Scheduling in Mobile Phones Using Machine Learning and Participatory Sensing
    Tang, Zaiyang
    Guo, Song
    Li, Peng
    Miyazaki, Toshiaki
    Jin, Hai
    Liao, Xiaofei
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, 64 (07) : 3167 - 3176
  • [8] Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach
    Yan, Zhixian
    Subbaraju, Vigneshwaran
    Chakraborty, Dipanjan
    Misra, Archan
    Aberer, Karl
    2012 16TH INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (ISWC), 2012, : 17 - 24
  • [9] Energy-Efficient Cloud Computing for Smart Phones
    Arya, Nancy
    Chaudhary, Sunita
    Taruna, S.
    EMERGING TRENDS IN EXPERT APPLICATIONS AND SECURITY, 2019, 841 : 111 - 115
  • [10] An energy-efficient localization algorithm for mobile vehicles in vehicle to vehicle network
    Zhang, Lingwen
    Yang, Gang
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2012, 24 (11): : 1213 - 1222