Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …

The recently proposed swarm intelligence algorithm, Runge–Kutta Optimization (RUN), is
rooted in the fourth-order Runge–Kutta method. Compared with its counterparts, RUN …

Vehicular ad hoc networks (VANETs) demands reliable communication mechanisms for time-
critical communication between vehicles. In VANETs, communication links between vehicles …

Efficient routing algorithms are essential to guarantee reliable communication in Vehicular
Adhoc Networks (VANETs). In this paper, we present a twofold approach entailing the …

Vehicular ad hoc network (VANET) has earned tremendous attraction in the recent period
due to its usage in a wireless intelligent transportation system. VANET is a unique form of …

Efficient delivery and maintenance of the quality of service (QoS) of audio/video streams
transmitted over VANETs for mobile and heterogeneous nodes are one of the major …

In this paper, we address the timely message delivery problem in Hybrid Sensor and
Vehicular Networks (HSVNs). We formulate the problem as a bi-objective binary linear …

The concept of the Internet of Vehicles (IoV) was evolved to cater to the increasing demands
of emerging and advanced vehicular applications such as intelligent transportation systems …

Vehicular networks are a class of wireless networks built dynamically in an ad hoc network
manner. Routing mechanism is an important component for the success of any vehicular …

A mobile ad hoc network (MANET) is a cluster of wireless mobile devices that can create a
temporary network without seeking the support of any central management or infrastructure …