A performance‐aware routing mechanism for flying ad hoc networks

Ali, Hannan; Islam, Saif ul; Song, Houbing; Munir, Kashif

doi:10.1002/ett.4192

Cited by 15 publications

(10 citation statements)

References 51 publications

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“…This part provides a classification rather than a complete list of the existing routing protocols for FANET as earlier categorized. Each category will be examined in detail in the following subsections are depicted in Figure (1).…”

Section: Routing Protocols For Uavsmentioning

confidence: 99%

“…UAVs equipped with wireless communication modules and simple sensors can be operated as a single connected group. FANETs are becoming increasingly common, and they can provide actuation services while limiting human interaction and potentially life-threatening dangers [1]- [5]. FANETs have been receiving increased attention from researchers [6].…”

Section: Introductionmentioning

confidence: 99%

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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: Routing Protocols For Uavsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2022

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“…Garg et al [ 72 ] explained the advantage of flying ad-hoc networks and the importance of unmanned aerial vehicle transmission. Ali et al [ 73 ] introduced the routing aware mechanism of flying ad-hoc networks. The unmanned aerial vehicle possesses sudden topology changes, fastest data transmission, next-hop selection and also eliminates the dissemination loops with the efficient routing mechanism in Flying AdHoc Network (FANET).…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Ananthi

Jose

2021

Int J Wireless Inf Networks

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Body area network (BAN) connects sensors and actuators to the human body in order to collect patient’s information and transmitting it to doctors in a confined space with limited users. wireless body area network (WBAN) is derived from wireless sensor networks (WSN) and enables to transfer of the patient's information with a wide range of communication due to the limitations of the wired body area network. It plays a vital role in healthcare monitoring, healthcare systems, medical field, sports field, and multimedia communication. Sensors and actuators lead to high energy consumption due to their tiny size. WBAN facilitates in securely storing patient information and transmitting it to the doctor without data loss at a specific time. This review examines and summarizes methodological approaches in WBAN relating to security, safety, reliability, and the fastest transmission. Flying body area networks (FBAN) utilizing unmanned aerial vehicles for data transmission are recommended to promote rapid and secure communication in WBAN. FBAN improve the security, scalability, and speed in order to transmit patient’s information to the doctor due to high mobility.

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“…Mobility models must account for realistic traffic conditions in real-time. [16][17][18][19] The ability of nodes to create dynamically changing networks is a key feature of an effective mobility model. In military applications, UAV mobility should not be limited by the mobility of participating nodes due to its time-critical nature.…”

Section: F I G U R E 1 a Sparse Flying Ad-hoc Network In Which Autono...mentioning

confidence: 99%

“…Mobility models describe a node mobility scheme that simulates real‐world traffic, mobility, and response scenarios to present real‐world scenarios. Mobility models must account for realistic traffic conditions in real‐time 16‐19 . The ability of nodes to create dynamically changing networks is a key feature of an effective mobility model.…”

Section: Introductionmentioning

confidence: 99%

A novel unmanned aerial vehicle‐sink enabled mobility model for military operations in sparse flying ad‐hoc network

Agrawal

Kapoor

Tomar

2022

Trans Emerging Tel Tech

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The flying ad‐hoc network (FANET) is a self‐configured, rapidly deployable network for a variety of time‐critical applications such as military and disaster relief operations. Most mobility models view FANETs as dense networks leading to unrealistic network scenarios and may not provide real‐world results. Unmanned aerial vehicles (UAVs) may not always be connected due to low battery, malfunction, budget constraints, or the nature of the application. Existing mobility models do not work in realistic FANET scenarios, that is, sparse FANETs, and simulate the model in a two‐dimensional domain. To address the issues, a novel mobility model has been proposed for military operations in sparse FANETs. This is the first paper that addresses the issue of sparse networks as well as implementing the proposed work in the simulator in three‐dimensional space. The proposed UAV‐sink enabled mobility model (US‐MM) increases the network performance without impeding the mobility of UAVs as UAVs perform critical functions in military operations. The simulation has been done using NS‐3.25. The obtained results show the efficiency of our proposed model which achieves increased network connectivity and stability of UAV's connection to the base station in the sparse FANETs.

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A performance‐aware routing mechanism for flying ad hoc networks

Cited by 15 publications

References 51 publications

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

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

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

A novel unmanned aerial vehicle‐sink enabled mobility model for military operations in sparse flying ad‐hoc network

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