[PDF] Top 20 1. Mobile crowd sensing for urban computing

1. Mobile crowd sensing for urban computing

... Mobile crowd sensing is based on a distributed problem solving model [4], in which ordinary citizens can contribute the data sensed or generated from their mobile ...of mobile phone ... See full document

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A Cost-Effective Distributed Framework for Data Collection in Cloud-based Mobile Crowd Sensing Architectures

... cloud computing, energy-efficiency, indoor localization, and mobile networks received IEEE/ACM Best Paper ...cloud computing, and Internet of Things ... See full document

14

A Survey on Mobile crowd sensing using MCS task allocation & incentives

... for mobile crowd sensing (MCS) ...of mobile users predicated on their historical records, then it culls a set of users in each sensing cycle for sensing task participation, so ... See full document

8

Secure Authenticated Storage Outsourcing Scheme with Secure Accessibility in Cloud Computing

... in mobile cloud ...in mobile gadgets, mobile clients need to lightweight security ...a mobile remote health sensing scenario, where a doctor using a mobile device ...the ... See full document

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LCBPA: two stage task allocation algorithm for high dimension data collecting in mobile crowd sensing network

... the sensing capability of participations for each task, and the server allocates tasks according to the sensing capability level to maximize the ...of mobile nodes, the number of tasks and the task ... See full document

11

Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things

... Cloud Computing and Communications initiative funded by the National Research Fund of ...cloud computing, and Internet of ...cloud computing, energy-efficiency, indoor localization, and mobile ... See full document

15

A Mobile Crowd-Sensing Platform for Noise Monitoring in Smart Cities

... in urban scenarios, noise can cause the so-called noise annoyance [16], which stands for a series of socio-behavioural changes and overall discontent in citizens residing in noisy areas that may determine ... See full document

14

Context Sensing, Aggregation, Representation and Exploitation in Wireless Networks

... pervasive computing landscape is dominated by the ubiquity of a vast manifold of heterogeneous, small, embedded and mobile devices, the autonomy of their programmed behaviour, the dy- namicity and ... See full document

11

Green and Sustainable High-Performance Computing with Smartphone Crowd Computing

... of mobile SoC processor, architected and marketed by Qualcomm ...in mobile computing by introducing the first 1 GHz mobile processor ever which featured in Toshiba TG01 in the year 2009 ... See full document

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An Improved Content Centric Extended Kalman Filter Based Crowd Sensing In Vanet Using Vehicular Cloud Computing

... of crowd sensing in Vehicular Ad-hoc Network is a most widely researched problem in recent ...congestion Mobile crowd sensing refers to a broad range of community sensing ... See full document

8

Participatory sensing based semantic and spatial analysis of urban emergency events using mobile social media

... Twitter 1 and Weibo 2 ; these are now commonly referred to as volun- teered geographic information (VGI), having a huge po- tential to engage citizens in place-based issues and provide significant, timely, and ... See full document

9

Review of Mobile Crowd Computing

... Mobile computing can provide a computing tool when and where it is needed irrespective of user movement, thereby supporting location ...of mobile computing such as resource scarcity, ... See full document

5

Social Network Assisted Worker Recruitment in Mobile Crowd Sensing

... To further demonstrate the research issues and challenges, a motivating case is illustrated as follows. The city government has developed an MCS application, named AirSense, through which citizens can sense and report ... See full document

14

Blacklisting User In Mobile Crowd Sensing

... of sensing model where particular with sensing, computing devices capable for gathering and grant important data for another ...entities. Mobile crowd sensing can be spread out ... See full document

5

Mobile crowd sensing

... smartphone sensing, online posting) in the data production ...understanding urban community dynamics ...enough sensing capabilities or are limited in terms of scalability ...cost). Mobile ... See full document

5

Online Full Text

... LOUD computing represents a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources ...Cloud computing is dynamically evolving, yet ... See full document

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SCATTERED COMPUTING WITH REAL TIME AND DISTRIBUTED DEVICES

... Scatered computing aims to revolutionize the current paradigm of human computer ...Scatered computing is a computing environment computing systems weave themselves in the fabric of everyday ... See full document

5

Privacy Preserving Data Aggregation And Proficient In Mobile Sensing

... In this paper [3]Arvind Thiagarajan, Lenin Ravindranath, Katrina LaCurts presents VTrack, a system for period estimation victimisation this device information that addresses 2 key challenges: energy consumption and ... See full document

6

Multi-access edge computing: open issues, challenges and future perspectives

... cloud computing to the mobile environment in any- where and anytime manner, where data are stored and processed outside mobile devices [8, ...provides computing, storage and networking ... See full document

13

Survey on Security and Privacy Issues in Mobile Cloud Computing Environment

... cloud computing is a computing which involves interaction of mobile devices with cloud computing ...of mobile users with cloud ...of mobile cloud computing ...in ... See full document

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