Adaptive Beaconless Opportunistic Routing for Multimedia Distribution

Pimentel, Larissa; Rosário, Denis; Seruffo, Marcos César da Rocha; Zhao, Zhongliang; Braun, Torsten

doi:10.1007/978-3-319-22572-2_9

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…The benefit of beaconless opportunity routing protocols is that they enable and sustain network connectivity even when delays and intermittent links are present. Some protocols rely on Beaconless Opportunistic Routing Protocol, such as Cross-Layer Link Quality and Geographical-Aware Beaconless Opportunistic Routing Protocol (XLinGO) [63] and Adaptive Context-Aware Beaconless Opportunistic Routing Protocol (CABR) [64].…”

Section: Beaconless Opportunistic Routing Protocol (Borps)mentioning

confidence: 99%

Cluster-Based Routing Protocols for Flying Ad Hoc Networks (FANETs)

2022

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Flying Ad-Hoc Network (FANET) is a set of Unmanned Aerial Vehicles (UAVs) interconnected wirelessly. FANETs self-organize and provide low-cost, adaptable, and simple-to-implement flying nodes, enabling them to complete complicated tasks more quickly and collectively. The high mobility of nodes and the highly dynamic topology pose challenges to communication design, particularly when creating a routing protocol for UAV networks; this has inspired researchers to contribute and develop this technology. Hierarchical routing technique known as clustering is necessary to offer scalability, survivability, and distribute payload among UAVs to maintain the performance. This study has proposed a comprehensive survey of the cluster-based routing protocols (CBRPs) in terms of their strengths, weaknesses, specific applications, method, number of nodes, and future improvements for serving FANETs. Moreover, 21 CBRPs based FANETs were reviewed in terms of their topology, challenges, scalability, characteristics, clustering strategy, outstanding features, cluster head (CH) selection, routing metrics, and performance measures.In addition, open issues that need to be addressed in future studies in the field of routing protocols for UAV networks were also debated. INDEX TERMSClustering algorithm, flying ad hoc network, routing protocol, scalability, unmanned aerial vehicle.

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Section: Beaconless Opportunistic Routing Protocol (Borps)mentioning

confidence: 99%

Cluster-Based Routing Protocols for Flying Ad Hoc Networks (FANETs)

2022

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“…The author of the article [32] combined a set of cross-layer parameters to calculate the dynamic forwarding delay, including queue length, link quality, geographic location, and remaining energy so as to create and maintain reliable and continuous multi-hop routing. Pimentel et al [33] proposed CABR, which considers the impact of different environmental information on dynamic forwarding delay, and adds location prediction to detect possible routing failures. Filho et al proposed MOBI-FANET [34], which considers mitigating the impact of UAV mobility and maintaining network connectivity.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Efficient Opportunistic Routing Protocol Based on Trajectory Prediction for FANETs

Sang

Xing

et al. 2020

IEEE Access

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In recent years, with the emergence of UAVs(Unmanned Aerial Vehicles) in military and civil applications, the FANETs(Flying Ad-Hoc Networks) composed of multiple UAVs has attracted extensive attention from researchers. As a new type of airborne self-organizing network, the particularity in FANETs such as time-varying network topology and dynamic link makes it difficult to maintain continuous communication when performing tasks. Therefore, it is challenging to design a routing protocol for FANETs to guarantee the quality of data transmission and make communication more effective. In this paper, we propose a new opportunistic routing protocol based on trajectory prediction, named EORB-TP. To be specific, we first predict the position of nodes in three-dimensional space and solve the problem of uncertainty of node contact in opportunistic communication. Secondly, we define the node's trajectory metric value to measure the node's trajectory characteristics and effectively avoid the excessive consumption of edge nodes. In addition, when choosing relay nodes, an energy-saving data forwarding strategy is designed to deal with the limited energy resources and storage space of UAVs. Simulation results show that compared with the state-of-the-art protocols, our protocol can increase the delivery rate by approximately 40% at best and can reduce the delay by approximately 80%.

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“…Data captured from the event area enable humans (or even a service) in the control center to take appropriate action based on rich information to explore a hazardous area, where rescuers are unable to reach easily and quickly [11]. For instance, multimedia data plays an essential role in helping ground rescue teams to make appropriate decisions based on detailed visual information [29].…”

Section: Network and System Modelmentioning

confidence: 99%

Cluster-Based Control Plane Messages Management in Software-Defined Flying Ad-Hoc Network

Cumino

Maciel

Tavares

et al. 2019

Sensors

Self Cite

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Collaboration between multiple Unmanned Aerial Vehicles (UAVs) to establish a Flying Ad-hoc Network (FANET) is a growing trend since future applications claim for more autonomous and rapidly deployable systems. In this context, Software-Defined Networking FANET (SDN-FANET ) separates the control and data plane and provides network programmability, which considers a centralized controller to perform all FANET control functions based on global UAV context information, such as UAV positions, movement trajectories, residual energy, and others. However, control message dissemination in an SDN-FANET with low overhead and high performance is not a trivial task due to FANET particular characteristics, i.e., high mobility, failures in UAV to UAV communication, and short communication range. With this in mind, it is essential to predict UAV information for control message dissemination as well as consider hierarchical network architecture, reducing bandwidth consumption and signaling overhead. In this article, we present a Cluster-bAsed control Plane messages management in sOftware-defined flying ad-hoc NEtwork, called CAPONE. Based on UAV contextual information, the controller can predict UAV information without control message transmission. In addition, CAPONE divides the FANET into groups by computing the number of clusters using the Gap statistics method, which is input for a Fuzzy C-means method to determine the group leader and members. In this way, CAPONE reduces the bandwidth consumption and signaling overhead, while guaranteeing the control message delivering in FANET scenarios. Extensive simulations are used to show the gains of the CAPONE in terms of Packet Delivery Ratio, overhead, and energy compared to existing SDN-FANET architectures.Sensors 2020, 20, 67 2 of 18 humans' eyes in the sky, and UAVs must be flying and monitoring events in a coordinated fashion for a long period with reliability [10].In FANET scenarios, UAVs must collaborate, and their behaviors (both the data transmission and the UAV movement) must be effectively controlled to maximize the FANET benefits and application performance [11]. In this way, a decentralized approach [6] to manage FANET include more complexity to synchronize information with all network nodes, requiring more control messages to be transmitted across the FANET, and can increase total power consumption. On the other hand, a centralized UAV controlling system can make optimized decisions based on the global UAV context information [12]. A centralized controller node must deal with the mobility trajectory of UAVs to avoid UAV collisions or improve application performance. It also needs to determine data routing paths, change packet transmission parameters (data rate or transmission power) due to performance or energy reasons. Hence, FANET could be managed by a Software Defined Network (SDN) [13] composed by a group of UAVs with a central controller entity [14]. In turn, implements the concept of SDN into FANET to separate the control and data plane, and to provide network p...

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Adaptive Beaconless Opportunistic Routing for Multimedia Distribution

Cited by 8 publications

References 13 publications

Cluster-Based Routing Protocols for Flying Ad Hoc Networks (FANETs)

Cluster-Based Routing Protocols for Flying Ad Hoc Networks (FANETs)

An Energy-Efficient Opportunistic Routing Protocol Based on Trajectory Prediction for FANETs

Cluster-Based Control Plane Messages Management in Software-Defined Flying Ad-Hoc Network

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