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Sensors for Cooperative Vehicular Communications and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 3434

Special Issue Editor

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Guest Editor
Department of Computer Science & Engineering (DISI), University of Bologna, 40136 Bologna, Italy
Interests: wireless sensor and actuator networks; middleware for sensor and actuator networks; vehicular sensor networks; edge computing; fog computing; online stream processing of sensing dataflows; IoT and big data processing; pervasive and mobile computing; cooperative networking; cyber physical systems for Industry 4.0
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Special Issue Information

Dear Colleagues,

The development of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) mechanisms and related technologies is accelerating the practical and industrial feasibility of vehicular ad hoc networks (VANETs) and associated applications. This is attracting significant efforts from both industry and academia, not only from the automotive and intelligent transportation systems (ITSs) communities but also from the fields of wireless and mobile sensor networks, edge computing for advanced wireless infrastructures, autonomous and quasi-autonomous cyber physical systems, and mobile collaborative applications in general. In this context, many currently ongoing national and international collaboration projects practically demonstrate relevant interest from government, industry, and academia in the field.

In particular, vehicular sensor networks (VSNs) have become increasingly interesting and popular due to the recent advances in inter-vehicular communication technologies, to the decreasing cost of communication devices, and to emerging wireless communication mechanisms and architectures that promise almost zero-latency and almost 100%-reliability in complex and wide-scale urban scenarios (e.g., 5g edge computing). Unlike traditional wireless sensor nodes, vehicles are not typically affected by energy constraints and can easily be equipped with powerful processing units, wireless communication devices, GPS, and sensing devices, such as chemical detectors, still/video cameras, LIDARs, and vibration and acoustic sensors. Thus, they enable new and promising sensing applications, such as traffic reporting, relief to environmental monitoring, and distributed surveillance, to mention a few.

In this context, this Special Issue is willing to provide a fresh overview and an original perspective by primarily focusing on collaborative sensing and applications, where distributed vehicles interwork together in order to provide enhanced functionality and services, even in the context of stringent non-functional requirements, e.g., in terms of latency, scalability, reliability, trustfulness in open deployment environments, etc. Therefore, this Special Issue intends to disseminate the latest research results in this emergent research area, by providing a fresh snapshot of the current state-of-the-art in VANETs, collaborative VSNs, collaborative VANET-based protocols and infrastructure services, and collaborative VSN applications (including actuation operations capable of modifying the execution environment where vehicles can move). To this purpose, we are seeking high-quality papers reporting original research results and practical experiences of system design/prototyping/deployment related to topics that include but are not limited to the following:

  • Original algorithms and protocols for VSN mobile sensing;
  • Original middleware and platforms for the support of VSN systems and applications;
  • Collaborative vehicles as distributed sensors and actuators in smart cities;
  • Vehicle-oriented crowdsensing and opportunistic participation;
  • Vehicle-oriented mobile cloud computing, edge computing, and fog computing;
  • 5G and edge computing for virtualized resources with minimum latency in collaborative VSN applications;
  • Intra-vehicular monitoring and integration with legacy vehicular systems;
  • Efficient and locality-enhanced QoS support for quality sensitive VSN applications;
  • Data dissemination solutions for collaborative VSN applications;
  • Online stream processing for collaborative VSN applications;
  • Performance, scalability, reliability, and efficiency of VSN platforms, infrastructures, and applications;
  • Standardization efforts (e.g., OpenFog, ETSI multi-access edge computing) for collaborative VSNs;
  • Case studies of VSN infrastructures and applications over wide-scale urban environments;
  • Safety, enhanced navigation, and car alert collaborative applications;
  • From autonomous driving to collaborative driving based on collaborative VSNs;
  • Efficient mobility models and vehicle traffic models;
  • Simulation aspects of V2V, V2I, and collaborative VSNs;
  • Emulation and testbeds for large-scale collaborative VSNs;
  • Security, encryption, and privacy for collaborative VSNs.

Prof. Dr. Paolo Bellavista
Guest Editor

Manuscript Submission Information

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  • Vehicular sensor networks
  • Cooperative vehicular networking
  • Cooperative vehicular applications
  • Edge computing (multi-access edge computing, 5G, …) for cooperative vehicles
  • Fog computing for cooperative vehicles
  • Scalability and wide-scale validation of cooperative vehicle solutions
  • Privacy-preserving cooperative vehicles

Published Papers (1 paper)

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21 pages, 868 KiB  
A Heterogeneous Network Modeling Method Based on Public Goods Game Theory to Explore Cooperative Behavior in VANETs
by Qiuhua Wang, Hao Liu, Xing Jin and Zhen Wang
Sensors 2020, 20(6), 1802; - 24 Mar 2020
Cited by 1 | Viewed by 2716
Cooperative vehicular networking has been widely studied in recent years. Existing evolution game theoretic approaches to study cooperative behavior in Vehicular Ad hoc Network (VANET) are mainly based on the assumption that VANET is constructed as a homogeneous network. This modeling method only [...] Read more.
Cooperative vehicular networking has been widely studied in recent years. Existing evolution game theoretic approaches to study cooperative behavior in Vehicular Ad hoc Network (VANET) are mainly based on the assumption that VANET is constructed as a homogeneous network. This modeling method only extracts part attributes of vehicles and does not distinguish the differences between strategy and attribute. In this paper, we focus on the heterogeneous network model based on the public goods game theory for VANET. Then we propose a Dynamic Altruism Public Goods Game (DAPGG) model consisting of rational nodes, altruistic nodes, and zealots to more realistically characterize the real VANET. Rational nodes only care about their own benefits, altruistic nodes comprehensively consider the payoffs in the neighborhood, while zealots insist on behaving cooperatively. Finally, we explore the impacts of these attributes on the evolution of cooperation under different network conditions. The simulation results show that only adding altruistic nodes can effectively improve the proportion of cooperators, but it may cause conflicts between individual benefits and neighborhood benefits. Altruistic nodes together with zealots can better improve the proportion of cooperators, even if the network conditions are not suitable for the spread of cooperative behavior. Full article
(This article belongs to the Special Issue Sensors for Cooperative Vehicular Communications and Applications)
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