NDLI: On Opportunistic Coverage for Urban Sensing

Content Provider	IEEE Xplore Digital Library
Author	Dong Zhao Huadong Ma Liang Liu Jing Zhao
Copyright Year	2013
Description	Author affiliation: Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China (Dong Zhao; Huadong Ma; Liang Liu) \|\| Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA (Jing Zhao)
Abstract	Opportunistic sensing is a new paradigm which exploits human-carried or vehicle-mounted sensors to collect data ubiquitously for large-scale urban sensing. Existing work lacks an in-depth investigation on the sensing quality of such sensing systems, which faces two basic problems: 1) how to measure the sensing quality? and 2) how many humans or vehicles are necessary to satisfy the sensing quality requirement of the whole urban area? To solve the first problem, we propose a metric called Inter-Cover Time (ICT) to characterize the opportunity with which a sub region is covered, which reflects the sensing quality directly. According to the empirical measurement studies on real mobility traces of thousands of taxis collected in Beijing and Shanghai, we find that the aggregated ICT Distribution (ICTD) closely resembles a truncated power-law distribution regardless of the size of sub regions and the number of vehicles. We also analyze the reasons behind this particular pattern by the evaluation on four known mobility models. To solve the second problem, we further propose a metric called opportunistic coverage ratio based on the ICTD to characterize the relationship between the sensing quality of an urban area and vehicle number. Our results provide fundamental guidelines on the measurement of sensing quality and network planning for opportunistic urban sensing applications.
Starting Page	231
Ending Page	239
File Size	1448054
Page Count	9
File Format	PDF
ISBN	9781479934089
DOI	10.1109/MASS.2013.66
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	coverage Wireless sensor networks Exponential distribution Urban areas urban sensing Mobile communication sensor networks Sensors opportunistic sensing Vehicles Global Positioning System
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Urban pollution monitoring through opportunistic mobile sensor networks based on public transport

Modeling the communication contacts in roadside unit aided vehicles opportunistic networks

Sensor network deployment based on coverage addition factor

Using Mobile Sensors to Enhance Coverage in Linear Wireless Sensor Networks

On the user profiles and the prediction of user movements in wireless networks

Mobile localization in outdoor environments

A Distributed Health Navigation System based on opportunistic mobile WSN

Localization Algorithm Based on Sector Scan for Mobile Wireless Sensor Networks

Car finding with a pedestrian navigation system

On Opportunistic Coverage for Urban Sensing

Similar Documents

Urban pollution monitoring through opportunistic mobile sensor networks based on public transport

Modeling the communication contacts in roadside unit aided vehicles opportunistic networks

Sensor network deployment based on coverage addition factor

Using Mobile Sensors to Enhance Coverage in Linear Wireless Sensor Networks

On the user profiles and the prediction of user movements in wireless networks

Mobile localization in outdoor environments

A Distributed Health Navigation System based on opportunistic mobile WSN

Localization Algorithm Based on Sector Scan for Mobile Wireless Sensor Networks

Car finding with a pedestrian navigation system

On Opportunistic Coverage for Urban Sensing