The rapid growth in population has led to substantial traffic bottlenecks in recent
transportation systems. This not only causes significant air pollution, and waste in time and …

Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …

As the urbanization is advancing day by day and demand of vehicles is being increased (or
cheaper cost of vehicles), it made increased number of vehicles over the road, which faces …

Many vehicles on the road create significant problems, like parking, traffic congestion,
fuel/energy consumption, and so on. Specifically, finding an appropriate parking spot is …

Crowdsensing is a new paradigm of applications that takes advantage of mobile devices to
collect sensing data. Tasks in crowdsensing will consume users' resources so that incentive …

The existing incentive mechanisms of crowdsourcing construct the expected utility function
based on the assumption of rational people in traditional economics. A large number of …

Limited parking space in urban environments has a severe social and environmental impact,
because of time loss and unnecessary pollution while looking for free parking spaces. In a …

In the passage of time, the number of population in Dhaka city is increasing very rapidly.
Most parts of this city are highly affected by the huge traffic jam. Peoples of all ages have to …

Mobile crowdsensing (MCS) is a technique where individuals voluntarily utilise their devices
to collect data to measure phenomena. In this article, a review of privacy-preserving in MCS …

Finding a parking place for a car in a central zone of a city can be time consuming task
which often results with driver's frustration, increased full consumption and additional …