More than ever, the automotive industry is shifting towards electric vehicles since
environmental and sustainability concerns are becoming important to potential customers …

Wireless sensor networks have been employed widely in various fields, including military,
health care, and manufacturing applications. However, the sensor nodes are limited in terms …

Forecasting short-term traffic flow has been a critical topic in transportation research for
decades, which aims to facilitate dynamic traffic control proactively by monitoring the present …

Composite structures may be subjected to internal damages caused by impact events, which
can seriously degrade the property of the structures. Hence, impact monitoring is of great …

This article presents a novel decision fusion algorithm for Internet-of-Things-based wireless
sensor networks, where multiple sensors transmit their decisions about a certain …

In this paper, the distributed decision fusion (DF) problem of cooperative wireless sensor
networks is considered, where a group of sensors send their local decisions to a fusion …

One of the biggest challenges in modern societies is to solve vehicular traffic problems.
Sensor networks in traffic environments have contributed to improving the decision-making …

Traffic management has become more complicated because increasing road networks and
vehicles day by day due to population increasing. Monitoring and tracking of movable …

The existing traffic light system fails to deal with the increase in vehicular traffic requirements
due to fixed time programming. Traffic flow suffers from vehicle delay and congestion. A new …

In recent years traffic congestion is a major problem in our country, which affects modern
city's daily life routine and disturb environments. Due to increase population, size of cities …