Understanding driving behavior–even in the rapid emergence of automation-remains in the
spotlight, for decomposing complex driving dynamics, enabling the development of user …

Natural hazard-induced disasters have caused catastrophic damage and loss to buildings,
infrastructure, and the affected communities as a whole during the recent decades and their …

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 third wave of information technology (IT) competition has enabled one promising value
co-creation proposition, Smart PSS (smart product-service systems). Manufacturing …

In this paper we present a survey on mobile crowdsensing (MCS) techniques that have been
developed to address the Curse of Sensing problem ie propensity of MCS applications to …

In this study, we investigate the cooperation problem of edge nodes in mobile edge
scenarios. We study two performance metrics: caching hit ratio and cooperation cost. We …

With the occurrence of large-scale human trajectories, which imply spatial and temporal
patterns, the subject of mobility prediction has been widely studied. A number of approaches …

With rising numbers of people living in cities leading to increasing congestion and pollution,
mobile crowdsensing applications form a potential solution to make transport systems …

There does not exit a complete transmission path in the opportunistic network. In order to
further improve the delivery rate and transmission delay, hybrid routing algorithms with node …

The Internet of Things (IoT) is the paradigm that allows us to interact with the real world by
means of networking-enabled devices and convert physical phenomena into valuable digital …