PS-Sim: A framework for scalable data simulation and incentivization in participatory sensing-based smart city applications

Author:

Barnwal Rajesh P.,Ghosh Nirnay,Ghosh Soumya K.,Das Sajal K.

Funder

CSIR-CMERI Durgapur

IIEST-ShibpurIIEST-Shibpur (India)

IIT-Kharagpur

Missouri S&T, USA

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference17 articles.

1. The Curse of Sensing: Survey of techniques and challenges to cope with sparse and dense data in mobile crowd sensing for Internet of Things;Montori;Elsevier Pervasive Mobile Comput.,2018

2. Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm;Guo;ACM Comput. Surv.,2015

3. On the effect of human mobility to the design of metropolitan mobile opportunistic networks of sensors;Tomasini;Elsevier Pervasive Mobile Comput.,2017

4. Enhancing reliability of vehicular participatory sensing network: A Bayesian approach;Barnwal,2016

5. Collaborative data delivery for smart city-oriented mobile crowdsensing systems;Vitello,2018

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