Adoption of Vehicular Ad Hoc Networking Protocols by Networked Robots

Vandenberghe, Wim; Moerman, Ingrid; Demeester, Piet

doi:10.1007/s11277-012-0598-2

Cited by 8 publications

(4 citation statements)

References 82 publications

(92 reference statements)

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“…However, the characteristics of wireless communication (collision avoidance strategies, signal fading) bring many issues for multi-robot communication. Multirobot coordination based on wireless communication has strict requirements such as low communication latency, high quality of service, and high bandwidth consumption [26]. At the same time, the multi-robot system's characteristics, like high mobility, high dynamic topology, and dynamic routing, make communication-based multi-robot coordination more challenging.…”

Section: Multi-robot System Communicationmentioning

confidence: 99%

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Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges

Lin

et al. 2023

IEEE Open J. Comput. Soc.

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Multi-robot systems gain considerable attention due to lower cost, better robustness, and higher scalability as compared with single-robot systems. Cooperative object transport, as a well-known use case of multi-robot systems, shows great potential in real-world applications. The design and implementation of a multi-robot system involve many technologies, specifically, communication, coordination, task allocation methods, experimental platforms, and simulators. However, most of recent multi-robot system studies focus on coordination and task allocation problems, with little focus on communications among multiple robots. In this review, we focus on the communication, validation platform, and simulator of multi-robot systems, and discuss one of the important applications, cooperative object transport. First, we study the multi-robot system fundamentals and comprehensively review the multi-robot system communication technologies. Then, the multi-robot system validating platform, testbed, simulator, and middleware used in academia and industry are investigated. Finally, we discuss recent advances in cooperative object transport, and challenges and possible future research directions for multi-robot systems.

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Section: Multi-robot System Communicationmentioning

confidence: 99%

“…Although the RANETs and VANETs belong to the field of MANETs, the focuses are different [26]. They both focus on self-organization, quality of service, and security.…”

Section: ) Ranets Routing and Protocolsmentioning

confidence: 99%

Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges

Lin

et al. 2023

IEEE Open J. Comput. Soc.

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“…Since robots can be composed of transceivers, they are most likely to form a wireless ad hoc network without relying on centralized entities, which is called Robotic Ad hoc Network (RANET) [95]. Generally, the movement of robots can be intelligently controlled to maintain the connectivity of the network while ensuring a high ratio of data delivery.…”

Section: ) Robot Ad Hoc Network (Ranets)mentioning

confidence: 99%

Routing in Flying Ad Hoc Networks: Survey, Constraints, and Future Challenge Perspectives

Oubbati¹,

Atiquzzaman²,

Lorenz³

et al. 2019

IEEE Access

189

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Owing to the explosive expansion of wireless communication and networking technologies, cost-effective unmanned aerial vehicles (UAVs) have recently emerged and soon they will occupy the major part of our sky. UAVs can be exploited to efficiently accomplish complex missions when cooperatively organized as an ad hoc network, thus creating the well-known flying ad hoc networks (FANETs). The establishment of such networks is not feasible without deploying an efficient networking model allowing a reliable exchange of information between UAVs. FANET inherits common features and characteristics from mobile ad hoc networks (MANETs) and their sub-classes, such as vehicular ad hoc networks (VANETs) and wireless sensor networks (WSNs). Unfortunately, UAVs are often deployed in the sky adopting a mobility model dictated by the nature of missions that they are expected to handle, and therefore, differentiate themselves from any traditional networks. Moreover, several flying constraints and the highly dynamic topology of FANETs make the design of routing protocols a complicated task. In this paper, a comprehensive survey is presented covering the architecture, the constraints, the mobility models, the routing techniques, and the simulation tools dedicated to FANETs. A classification, descriptions, and comparative studies of an important number of existing routing protocols dedicated to FANETs are detailed. Furthermore, the paper depicts future challenge perspectives, helping scientific researchers to discover some themes that have been addressed only ostensibly in the literature and need more investigation. The novelty of this survey is its uniqueness to provide a complete analysis of the major FANET routing protocols and to critically compare them according to different constraints based on crucial parameters, thus better presenting the state of the art of this specific area of research.INDEX TERMS UAV, FANET, mobility, simulation, routing protocols. TABLE 2. FANET communication comparison. C. FANET CHARACTERISTICSEach mission or application comes with different requirements in terms of the number of UAVs, the flight time, and the communication constraints. This diversifies the characteristics of FANETs and makes them unique, which differentiate them from other kinds of ad hoc networks. In this section, we provide a detailed description of the most crucial FANET characteristics that are considered during the deployment of such networks. 1) NODE SPEEDThe LAUs are considered as the most studied categories of UAVs. In this category, we distinguish two kinds of UAVs: (i) Rotary-Wing (RW) UAVs and (ii) Fixed-Wing (FW) UAVs [61]. In a general case, the mobility of both types of

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“…So far, most research into interrobot communication has focused on pure ad hoc networking. For instance, in [30], a review for routing protocols that can be used in robot networks is given. ey show that the AODV routing protocol can be used in scenarios where robots have speeds up to 6 km/h, which is similar to the robot speeds that we consider in this paper.…”

Section: Related Workmentioning

confidence: 99%

Flexible Wi-Fi Communication among Mobile Robots in Indoor Industrial Environments

Haxhibeqiri

Jarchlo

Moerman

et al. 2018

Mobile Information Systems

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In order to speed up industrial processes and to improve logistics, mobile robots are getting important in industry. In this paper, we propose a flexible and configurable architecture for the mobile node that is able to operate in different network topology scenarios. The proposed solution is able to operate in presence of network infrastructure, in ad hoc mode only, or to use both possibilities. In case of mixed architecture, mesh capabilities will enable coverage problem detection and overcoming. The solution is based on real requirements from an automated guided vehicle producer. First, we evaluate the overhead introduced by our solution. Since the mobile robot communication relies in broadcast traffic, the broadcast scalability in mesh network is evaluated too. Finally, through experiments on a wireless testbed for a variety of scenarios, we analyze the impact of roaming, mobility and traffic separation, and demonstrate the advantage of our approach in handling coverage problems.

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Adoption of Vehicular Ad Hoc Networking Protocols by Networked Robots

Cited by 8 publications

References 82 publications

Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges

Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges

Routing in Flying Ad Hoc Networks: Survey, Constraints, and Future Challenge Perspectives

Flexible Wi-Fi Communication among Mobile Robots in Indoor Industrial Environments

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