Novel Sampling Algorithm for Human Mobility-Based Mobile Phone Sensing

被引：25

作者：

Rajalakshmi, Thejaswini M. P. ^{[1
,2
]}

Desai, Uday B. ^{[1
,2
]}

机构：

[1] Indian Inst Technol Hyderabad, Dept Comp Sci & Engn, Hyderabad 502205, Andhra Pradesh, India

[2] Indian Inst Technol Hyderabad, Dept Elect Engn, Hyderabad 502205, Andhra Pradesh, India

来源：

IEEE INTERNET OF THINGS JOURNAL | 2015年 / 2卷 / 03期

关键词：

Global positioning system (GPS); human mobility; Levy walk; mobile phone sensing; sensor sampling; spatial coverage;

D O I：

10.1109/JIOT.2014.2388074

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Smart phones or mobile phones enabled with global positioning system (GPS), different types of sensors, and communication technologies have become ubiquitous application development platform for Internet of Things (IoT) and new sensing technologies. Improving sensing area coverage, reducing overlap of sensing area, and energy consumption are important issues under mobile phone sensing. This paper presents human mobility-based mobile phone sensors sampling algorithm. Human mobility patterns and geographical constraints have an impact on performance of mobile phone sensing applications. The real-outdoor location traces of volunteers, collected using GPS-enabled mobile phones are used for performance analysis of proposed work. The proposed mobile phone sensor sampling algorithm considers velocity of human mobility as an important parameter for improving sensing area coverage and reduction of energy consumption. To an extent overlap between sensing area coverage is allowed to overcome, the reduction of sensor data samples caused by spatial regularities of human mobility. The performance is analyzed and evaluated by considering general regular sampling and proposed sampling method for mobile phone sensing activity. The results show that for normal human walking velocity (<1.5 m/s) proposed mobile phone sensor sampling algorithm performs better in terms of sensing area coverage and reduction of battery energy consumption for mobile phone sensing activity.

引用

页码：210 / 220

页数：11

共 25 条

[1]

[Anonymous], SCI REPORTS

[2]

[Anonymous], P IEEE CONS COMM NET

[3]

Azevedo T. S., 2009, PROC IEEE WIRELESS C, P1

[4]

Bajaj R, 2002, COMPUTER, V35, P92, DOI 10.1109/MC.2002.993780

[5]

Birand B., 2011, 2011 IEEE 8th International Conference on Mobile Ad-Hoc and Sensor Systems, P292, DOI 10.1109/MASS.2011.36

[6]

Hachem S, 2013, INT CONF PERVAS COMP, P132, DOI 10.1109/PerCom.2013.6526723

[7]

Hao J., 2011, P IEEE INT C SIGN PR, P1

[8]

Ho AH, 2005, 2005 IEEE INTELLIGENT VEHICLES SYMPOSIUM PROCEEDINGS, P575

[9]

Kanhere SalilS., 2011, 12 IEEE INT C MOBILE, P3, DOI [10.1109/MDM.2011.16, DOI 10.1109/MDM.2011.16]

[10]

Karagiannis T, 2007, MOBICOM'07: PROCEEDINGS OF THE THIRTEENTH ACM INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, P183

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