Abstract The Internet of Things (IoT) is rapidly becoming one of the most talked-about and
essential components of any digitization process. The IoT is comprised of several key …

Diffuse waste data and associated privacy concerns present significant challenges for
effective waste classification in the Internet of Things (IoT) realm. This research introduces a …

The emergence of the heterogeneous Internet of Things (IoT) has realized the demand for
multi-attribute data collection in response to the increasing demand for information in …

Nowadays, with the continuous development of information technology, the application
scenarios of the Internet of Things (IoT) are progressively expanding to the social field …

With massive population growth and a shift in the urban culture in smart cities, the constant
generation of waste continues to create unsanitary living conditions for city dwellers …

This study critically reviews the scientific literature regarding machine-learning approaches
for optimizing smart bin collection in urban environments. Usually, the problem is modeled …

Purpose The purpose of this study is to formulate an algorithm designed to discern the
optimal routes for efficient municipal solid waste (MSW) collection. Design/methodology …

Cooperative vehicle safety systems rely on periodic broadcasts of beacons to track positions
and movements of concerned vehicles. In vehicular networking, vehicle driving environment …

Due to various restrictions, some Internet of Things sensing layers can only deploy a small
number of sensor nodes for spatiotemporal low-resolution environmental information …

Many service robots have to operate in a variety of different Service Event Areas (SEAs). In
the case of the waste collection robot MARBLE (Mobile Autonomous Robot for Litter …