A Review of Mobile Ad hoc NETwork (MANET) Protocols and their Applications

Ramphull, Dinesh; Mungur, Avinash; Armoogum, Sheeba; Pudaruth, Sameerchand

doi:10.1109/iciccs51141.2021.9432258

Cited by 45 publications

(34 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the absence of a specific standard, we will discuss the strengths and weaknesses of existing technologies for the multi-robot control application. Ad hoc networks map well to the communications patterns required of decentralized robotic control, and the most relevant for this survey are Mobile Ad Hoc Networks (MANETs) which deal with the problem of facilitating communication between mobile nodes without coordination from infrastructure [57]. More specific forms of interest are Vehicular Ad Hoc Networks (VANETs) [58] and Flying Ad Hoc Networks (FANETS) [59], where the former generally deal with automotive use cases and the latter drones and UAVs, and these are more exposed to dynamic conditions that are expected from robotic ad hoc networks.…”

Section: Communications Scheme Selectionmentioning

confidence: 99%

A Critical Review of Communications in Multi-robot Systems

2022

View full text Add to dashboard Cite

Purpose of Review This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to accomplish tasks, and of networking technologies that have enabled newer and more advanced multi-robot systems. Recent Findings Through this review, we identify a dearth of work that holistically tackles the problem of co-design and co-optimization of robots and the networks they employ. We also highlight the role that data-driven and machine learning approaches play in evolving communication pipelines for multi-robot systems. In particular, we refer to recent work that diverges from hand-designed communication patterns, and also discuss the “sim-to-real” gap in this context. Summary We present a critical view of the way robotic algorithms and their networking systems have evolved, and make the case for a more synergistic approach. Finally, we also identify four broad Open Problems for research and development, while offering a data-driven perspective for solving some of them.

show abstract

Section: Communications Scheme Selectionmentioning

confidence: 99%

A Critical Review of Communications in Multi-robot Systems

2022

View full text Add to dashboard Cite

show abstract

“…Ad-hoc networks map well to the communications patterns required of decentralized robotic control, and the most relevant for this survey are Mobile Ad-Hoc Networks (MANETs) which deal with the problem of facilitating communication between mobile nodes without coordination from infrastructure [57]. More specific forms of interest are Vehicular Ad-Hoc Networks (VANETs) [58] and Flying Ad-hoc networks (FANETS) [59], where the former generally deal with automotive use cases and the latter drones and UAVs, and these are more exposed to dynamic conditions that are expected from robotic ad-hoc networks.…”

Section: Communications Scheme Selectionmentioning

confidence: 99%

A Critical Review of Communications in Multi-Robot Systems

Gielis¹,

Singh²,

Prorok³

2022

Preprint

View full text Add to dashboard Cite

Purpose of Review. This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to accomplish tasks, and of networking technologies that have enabled newer and more advanced multi-robot systems. Recent Findings. Through this review, we identify a dearth of work that holistically tackles the problem of co-design and co-optimization of robots and the networks they employ. We also highlight the role that data-driven and machinelearning approaches play in evolving communication pipelines for multi-robot systems. In particular, we refer to recent work that diverges from hand-designed communication patterns, and also discuss the 'sim-to-real' gap in this context. Summary. We present a critical view of the way robotic algorithms and their networking systems have evolved, and make the case for a more synergistic approach. Finally, we also identify four broad Open Problems for research and development, while offering a data-driven perspective for solving some of them.

show abstract

“…Figure 1: Different types of mobile ad hoc networks [2] Figure 2: Different Mobility Models [8] b a OSPF uses a group of selected multipoint relays (MPRs) that forward the received broadcast messages through the flooding process. Therefore, using this technique, the overhead of the network will be decreased substantially, as every drone will retransmit the received message when it receives the first message from the main source.…”

Section: Ieee Wifi and Routing Protocols Standardsmentioning

confidence: 99%

“…The data traffic transmitted between them can be recorded video, voice, or exchange information about sites by transferring files, as shown in [Figure 1]. [2] Using different mobility models, the direction and speed of each drone will change depending on different criteria of the model chosen while exchanging data packets between the nodes, which can give different high and low performance as the routes between the drones will break due to high mobility.…”

Section: Introductionmentioning

confidence: 99%

FANET Drone’s Data Applications, Mobility Models and Wi-Fi IEEE 802.11n Standards for Real and Non-Real Time Traffic

QasMarrogy

Fadhil²

2022

Cihan U Erbil SCI J

View full text Add to dashboard Cite

Data traffic is the most important data transmission between users inside every network, these data traffic can be videos, files, voice, pictures, and many more, that divided into two types, real-time and non-real-time traffic. Most real-time traffic data has a low tolerance for the delay during transmission as they need to be fast received between communication devices. In this paper, a comprehensive analysis will be made to evaluate the two types of data transmitted through FANET drones, with different mobility models and two types of IEEE 802.11 2.4 GHz and 5 GHz by using OLSR routing protocol. Metrics such as delay and throughput will be measured. This paper gives an important overview of how real and non-real-time traffic will be handled during data transmission in FANET networks.

show abstract

A Review of Mobile Ad hoc NETwork (MANET) Protocols and their Applications

Cited by 45 publications

References 16 publications

A Critical Review of Communications in Multi-robot Systems

A Critical Review of Communications in Multi-robot Systems

A Critical Review of Communications in Multi-Robot Systems

FANET Drone’s Data Applications, Mobility Models and Wi-Fi IEEE 802.11n Standards for Real and Non-Real Time Traffic

Contact Info

Product

Resources

About