Marcello Tomasini

TL;DR: This survey reviews the approaches developed to reproduce various mobility patterns, with the main focus on recent developments, and organizes the subject by differentiating between individual and population mobility and also between short-range and long-range mobility.

TL;DR: In this paper, a survey of approaches developed to reproduce various mobility patterns, with the main focus on recent developments, can be used both as an introduction to the fundamental modeling principles of human mobility, and as a collection of technical methods applicable to specific mobility-related problems.

TL;DR: The issue of understanding the impact of human mobility patterns to the performance of sensor network infrastructures with respect to four different metrics, namely: detection time, report time, data delivery rate, and network coverage area ratio is delved into.

TL;DR: This paper evaluates which mobility pattern is best suited to be used in a Social Network of Sensors (SNoS) and measures the efficiency of information flow in a SNoS if mobile sensors follow these mobility patterns.

TL;DR: In this article, the authors analyzed how the presence of mobile sensors moving according to social mobility patterns can impact the performances of fixed sensor network infrastructures and their design choices and showed that such integration can lead to increased efficiency of the integrated SNoS infrastructure for both sensing coverage and data delivery.