ارائه یک مکانیزم انگیزشی آگاه به زمینه در سنجش جمعیتی موبایل جهت افزایش مشارکت کاربران

نوع مقاله : علمی-پژوهشی

نویسندگان

دانشکده مهندسی برق و کامپیوتر - دانشگاه بیرجند

چکیده

سنجش جمعیتی موبایل یک الگوی جدید است که با استفاده از داده‌های حس شده توسط کاربران موبایل، اطلاعات جمعیتی استخراج و سپس خدمات مردم محور ارائه می‌گردد. با این حال، اکثر کاربران تمایلی به مشارکت داوطلبانه‌ در این فرایند ندارند. از این رو وجود مکانیزم‌های انگیزشی به منظور ترغیب کاربران به مشارکت الزامی است. در این مقاله بر اساس داده‌های ارسالی کاربران، یک مکانیزم انگیزشی مبتنی بر امتیاز پیشنهاد می‌شود. این مکانیزم (CAI) با استفاده از اطلاعات زمینه‌ی به دست آمده از داده‌ی کاربر، کیفیت داده را می‌سنجد و بر اساس آن به کاربر امتیاز می‌دهد. در مرکز مکانیزم انگیزشی از سیستم استنتاج فازی به منظور محاسبه‌ی امتیاز استفاده می‌شود. با استفاده از شبیه‌سازی، مکانیزم پیشنهادی ارزیابی و تاثیر هریک از پارامترها بر امتیاز کسب شده توسط کاربر نشان داده می‌شود. نتایج شبیه‌سازی نشان می‌دهد که این مکانیزم می‌تواند به حل مشکل عدم توازن قیمت در مناطق مختلف سنجش کمک نماید و با تعداد کم مشارکت‌کننده در هر نقطه‌ی سنجش نیز داده‌‌های باکیفیت را جمع‌آوری کند. 

کلیدواژه‌ها

عنوان مقاله [English]

A Context-Aware Incentive Mechanism for Mobile Crowd Sensing to Increase Participation of Users

نویسندگان [English]

  • Sh. Ostadi Eilaki
  • H. Vahdat-Nejad
  • S. M. Razavi
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
چکیده [English]

Mobile crowd sensing is a new paradigm that uses the data sensed by mobile users to extract population data and then provides people-centered services. However, most users do not tend to participate voluntarily in this process. Therefore, availability of incentive mechanisms is mandatory to encourage users’ participation. In this paper, based on users-submitted data, a score-based incentive mechanism is proposed. This mechanism measures data quality via obtained contextual information from user data, and accordingly, gives score to the user. The fuzzy inference system is used in the center of the incentive mechanism to calculate the score. The proposed mechanism is evaluated via simulation and the effect of each parameter on the score acquired by user is shown. Simulation results show that this mechanism could be helpful in solving the problem of price imbalance in different areas of measurement and also is able to collect high-quality data at each measurement point with few number of participants.

کلیدواژه‌ها [English]

  • Mobile crowd sensing
  • Incentive mechanism
  • Context-awareness

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