Routing Schemes in FANETs: A Survey

Khan, Muhammad Fahad; Yau, Kok‐Lim Alvin; Noor, Rafidah Md; Imran, Muhammad Ali

doi:10.3390/s20010038

Cited by 70 publications

(32 citation statements)

References 135 publications

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“…The communication in FANET is broadly classified as UAV-to-UAV (U2U) and UAV-Infrastructure communications (U2I), as shown in Figure 9. In the FANETs, the nodes communicate with each other using multi-hop communication, where one node is linked or connected to the infrastructure and the rest has multi-hop communication [47,48]. Therefore, it is not necessary that all UAV flights should communicate to the satellite or ground base station [49][50][51][52][53].…”

Section: Flying Ad-hoc Network (Fanet)mentioning

confidence: 99%

Moving Ad Hoc Networks—A Comparative Study

Al-Absi

Sain

et al. 2021

Sustainability

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An ad hoc network is a wireless mobile communication network composed of a group of mobile nodes with wireless transceivers. It does not rely on preset infrastructure and is established temporarily. The mobile nodes of the network use their own wireless transceivers to exchange information; when the information is not within the communication range, other intermediate nodes can be used to relay to achieve communication. They can be widely used in environments that cannot be supported by wired networks or which require communication temporarily, such as military applications, sensor networks, rescue and disaster relief, and emergency response. In MANET, each node acts as a host and as a router, and the nodes are linked through wireless channels in the network. One of the scenarios of MANET is VANET; VANET is supported by several types of fixed infrastructure. Due to its limitations, this infrastructure can support some VANET services and provide fixed network access. FANET is a subset of VANET. SANET is one of the common types of ad hoc networks. This paper could serve as a guide and reference so that readers have a comprehensive and general understanding of wireless ad hoc networks and their routing protocols at a macro level with a lot of good, related papers for reference. However, this is the first paper that discusses the popular types of ad hoc networks along with comparisons and simulation tools for Ad Hoc Networks.

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Section: Flying Ad-hoc Network (Fanet)mentioning

confidence: 99%

Moving Ad Hoc Networks—A Comparative Study

Al-Absi

Sain

et al. 2021

Sustainability

View full text Add to dashboard Cite

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“…There are a number of route planning protocols that are dedicatedly designed to forward hardware MAs-mainly UAVs [22,23]. Three-dimensional itinerary planning for UAVs was proposed by [24].…”

Section: Related Workmentioning

confidence: 99%

MINDS: Mobile Agent Itinerary Planning Using Named Data Networking in Wireless Sensor Networks

Ardakani

2021

JSAN

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Mobile agents have the potential to offer benefits, as they are able to either independently or cooperatively move throughout networks and collect/aggregate sensory data samples. They are programmed to autonomously move and visit sensory data stations through optimal paths, which are established according to the application requirements. However, mobile agent routing protocols still suffer heavy computation/communication overheads, lack of route planning accuracy and long-delay mobile agent migrations. For this, mobile agent route planning protocols aim to find the best-fitted paths for completing missions (e.g., data collection) with minimised delay, maximised performance and minimised transmitted traffic. This article proposes a mobile agent route planning protocol for sensory data collection called MINDS. The key goal of this MINDS is to reduce network traffic, maximise data robustness and minimise delay at the same time. This protocol utilises the Hamming distance technique to partition a sensor network into a number of data-centric clusters. In turn, a named data networking approach is used to form the cluster-heads as a data-centric, tree-based communication infrastructure. The mobile agents utilise a modified version of the Depth-First Search algorithm to move through the tree infrastructure according to a hop-count-aware fashion. As the simulation results show, MINDS reduces path length, reduces network traffic and increases data robustness as compared with two conventional benchmarks (ZMA and TBID) in dense and large wireless sensor networks.

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“…We use the reactive topology-based table-driven protocol DSDV as it may be considered as a good choice when network contains not too many nodes [30]. It should be noted that routing protocol selection is a hot area in MANET/FANET performance optimisation, see for example [31].…”

Section: Problem Formulation and Analysismentioning

confidence: 99%

MANET Performance Optimization Using Network-Based Criteria and Unmanned Aerial Vehicles

Gromova

Kireev

Lazareva

et al. 2021

JSAN

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In this contribution we consider the problem of optimal drone positioning for improving the operation of a mobile ad hoc network. We build upon our previous results devoted to the application of game-theoretic methods for computing optimal strategies. One specific problem that arises in this context is that the optimal solution cannot be uniquely determined. In this case, one has to use some other criteria to choose the best (in some sense) of all optimal solutions. It is argued that centrality measures as well as node ranking can provide a good criterion for the selection of a unique solution. We showed that for two specific networks most criteria yielded the same solution, thus demonstrating good coherence in their predictions.

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Routing Schemes in FANETs: A Survey

Cited by 70 publications

References 135 publications

Moving Ad Hoc Networks—A Comparative Study

Moving Ad Hoc Networks—A Comparative Study

MINDS: Mobile Agent Itinerary Planning Using Named Data Networking in Wireless Sensor Networks

MANET Performance Optimization Using Network-Based Criteria and Unmanned Aerial Vehicles

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