In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …

Pervasive and mobile sensing is an integral part of smart transport and smart city
applications. Vehicle-based mobile sensing, or drive-by sensing (DS), is gaining popularity …

Collaborative vehicular networks is a key enabler to meet the stringent ultra-reliable and low-
latency communications (URLLC) requirements. A user vehicle (UV) dynamically optimizes …

Vehicle-based mobile sensing (aka drive-by sensing) is an important means of surveying
urban environment by leveraging the mobility of public or private transport vehicles. Buses …

The massive increase in population density in cities has led to several urban problems, such
as an increment of air pollution, traffic congestion, and a faster spread of infectious diseases …

Collaborative vehicular network is a key enabler to meet the stringent communication and
computing requirements of user vehicles (UVs). A UV dynamically optimizes task offloading …

Urban traffic mobile crowd sensing (Urban Traffic MCS) has emerged as a new effective
paradigm of sensing and collecting data by means of vehicles equipped with various …

Drive-by sensing (ie vehicle-based mobile sensing) is an emerging data collection paradigm
that leverages vehicle mobilities to scan a city at low costs. It represents a positive social …

Mobile crowdsensing (MCS) is a promising sensing paradigm based on the mobile node
which provides the solution with cost-effectiveness to perform urban data collection. To …

Mobile Crowdsensing (MCS) has shown the greatest potential that allows smart devices to
collect and share different sensing data. Mobile users (or participants) send the desired …