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Mobility Models for Next Generation Wireless Networks: Ad Hoc, Vehicular and Mesh Networks

Paolo Santi
TLDR
This book offers an in-depth discussion of the most representative mobility models for major next generation wireless network application scenarios, including WLAN/mesh networks, vehicular networks, wireless sensor networks, and opportunistic networks.
Abstract
Mobility Models for Next Generation Wireless Networks: Ad Hoc, Vehicular and Mesh Networksprovides the reader with an overview of mobility modelling, encompassing both theoretical and practical aspects related to the challenging mobility modelling task. It also:Provides up-to-date coverage of mobility models for next generation wireless networksOffers an in-depth discussion of the most representative mobility models for major next generation wireless network application scenarios, including WLAN/mesh networks, vehicular networks, wireless sensor networks, and opportunistic networksDemonstrates the practices for designing effective protocol/applications for next generation wireless networksIncludes case studies showcasing the importance of properly understanding fundamental mobility model properties in wireless network performance evaluation

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Journal ArticleDOI

Data-driven Human Mobility Modeling: A Survey and Engineering Guidance for Mobile Networking

TL;DR: An engineering approach is taken and the required steps of model creation and validation are discussed and it is surveyed how and to what extent existing mobility modeling approaches implement the proposed steps.
Journal ArticleDOI

Cluster-based traffic information generalization in Vehicular Ad-hoc Networks

TL;DR: This paper proposes a new 3-steps approach for estimation of traffic volume in a road segment based on actual volume of wireless-equipped vehicles, and employs a machine learning method to generalization of the total traffic volume from the collected data.
Journal ArticleDOI

Effect of security and trustworthiness for a fuzzy cluster management system in VANETs

TL;DR: It is found that the FCMS2 can manage better the vehicles in the cluster than FCMS1, and shows that vehicles with the same VRSVC and with high VDC, VS and VT values have higher possibility to remain in the Cluster.
Journal ArticleDOI

A fuzzy-based approach for cluster management in VANETs: Performance evaluation for two fuzzy-based systems

TL;DR: The simulation results show that by selecting vehicles with high GS, RA, SC and DC values, the vehicles have high connectivity with other vehicles and are more secure, so they will be selected as the cluster head of the cluster.
Journal ArticleDOI

Collision-Free Advertisement Scheduling for IEEE 802.15.4-TSCH Networks.

TL;DR: The proposed method is the first non-centralized EB scheduling method that fully eliminates collisions, and this is guaranteed even if there are mobile nodes, and the results of the simulations demonstrate the superiority of the method in terms of joining time and energy consumption.
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