8,365 research outputs found
Modeling the Internet of Things: a simulation perspective
This paper deals with the problem of properly simulating the Internet of
Things (IoT). Simulating an IoT allows evaluating strategies that can be
employed to deploy smart services over different kinds of territories. However,
the heterogeneity of scenarios seriously complicates this task. This imposes
the use of sophisticated modeling and simulation techniques. We discuss novel
approaches for the provision of scalable simulation scenarios, that enable the
real-time execution of massively populated IoT environments. Attention is given
to novel hybrid and multi-level simulation techniques that, when combined with
agent-based, adaptive Parallel and Distributed Simulation (PADS) approaches,
can provide means to perform highly detailed simulations on demand. To support
this claim, we detail a use case concerned with the simulation of vehicular
transportation systems.Comment: Proceedings of the IEEE 2017 International Conference on High
Performance Computing and Simulation (HPCS 2017
Smart cities: a survey
A smart city is one that uses a smart system characterized by the interaction between infrastructure, capital, behaviors and cultures, achieved through their integration. From our survey of the smart city concept by reading recent papers in this field, we found no uniform concept of the smart city; some papers discussed it as a general case study, while others dealt with specific parts. This paper is a survey of a number of articles , which we divided into two categories:1-General case study, which covers the topic of smart city in a general framework, and 2-Specific case study, which covers the topic of the smart city from a specific detailed application, such as Traffic Management System, Smart Grid, Wireless Technology,…etc. The results of our research show that the information of communication technology (ICT) covers all areas on smart cities such as government facilities, buildings, traffic, electricity, health, water, and transport. Until now there is no unique definition for smart cities, most of researcher define the smart city form their needs or prospective
On the Feasibility of Social Network-based Pollution Sensing in ITSs
Intense vehicular traffic is recognized as a global societal problem, with a
multifaceted influence on the quality of life of a person. Intelligent
Transportation Systems (ITS) can play an important role in combating such
problem, decreasing pollution levels and, consequently, their negative effects.
One of the goals of ITSs, in fact, is that of controlling traffic flows,
measuring traffic states, providing vehicles with routes that globally pursue
low pollution conditions. How such systems measure and enforce given traffic
states has been at the center of multiple research efforts in the past few
years. Although many different solutions have been proposed, very limited
effort has been devoted to exploring the potential of social network analysis
in such context. Social networks, in general, provide direct feedback from
people and, as such, potentially very valuable information. A post that tells,
for example, how a person feels about pollution at a given time in a given
location, could be put to good use by an environment aware ITS aiming at
minimizing contaminant emissions in residential areas. This work verifies the
feasibility of using pollution related social network feeds into ITS
operations. In particular, it concentrates on understanding how reliable such
information is, producing an analysis that confronts over 1,500,000 posts and
pollution data obtained from on-the- field sensors over a one-year span.Comment: 10 pages, 15 figures, Transaction Forma
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