Cooperative frameworks and network models for flying ad hoc networks: a survey

Sharma, Vishal; Kumar, Rajesh

doi:10.1002/cpe.3931

Cited by 47 publications

(32 citation statements)

References 83 publications

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“…30 These frameworks incline towards uplifting the problem of coverage, robustness, deployment costs, interoperability, service integration, control, and scalability. 30 These frameworks incline towards uplifting the problem of coverage, robustness, deployment costs, interoperability, service integration, control, and scalability.…”

Section: Related Workmentioning

confidence: 99%

“…Distributed deployment and management of tasks and services have resulted in cooperative frameworks and service-oriented architectures. 30 These frameworks incline towards uplifting the problem of coverage, robustness, deployment costs, interoperability, service integration, control, and scalability. The collaborative sensing, action, communication, and control serve as the breeding grounds for middleware architectures and frameworks.…”

Section: Related Workmentioning

confidence: 99%

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Efficient data management and control over WSNs using SDN‐enabled aerial networks

Sayeed

Kumar

Sharma

2019

Int J Communication

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The recent developments in collaborative search, acquisition, and tracking have hoisted the geographical barrier. The network between unmanned aerial vehicles (UAVs) and wireless sensor networks (WSNs) is one such collaboration, which comprises battery-powered static sensor nodes that act as sources and sinks and UAVs that act as relays. This collaborative network presents with opportunities and advantages, but at the same time, configuration of such networks is an arduous task. The WSN nodes are characterized by constant depleting power. Their network itself requires constant management and reconfiguration. These requisites can be slaked through the formation of an efficient data dissemination algorithm, which acclimates according to the network state. Considering this, a data dissemination approach is presented in this paper, which constructs a virtual topology predicated on the charge of WSN nodes utilizing software-defined networks (SDNs) through UAVs. The topology is constantly monitored and reconfigured when required. The aerial nodes are equipped with multiple-input multiple-output (MIMO) antennas in order to facilitate simultaneous communication with the ground nodes, the base station, and the SDN controller. An efficient sleep timer and backoff counter strategies are also utilized by the proposed approach. The SDN controller facilitates the topology formation and maintenance of a sleep timer and a backoff counter. The proposed model is compared with clustered hierarchical layouts and hexagonal cell layouts through the network simulations. The results suggest significant improvements in the proposed model for various metrics, such as lifetime, delay, latency, delivery ratio, and throughput in comparison with the existing solutions.High radio frequency (RF) coverage, high altitude, high throughput, heavy payload, less operating time, ease of use, and low cost are the basic requirements of UAV-CONOPS. Chemical, Biological, Radiological, and Nuclear Reconnaissance (CBRN)-CONOPS whose major purpose is the containment of hazards are also turning towards UAV networks. Cellular network-based air-to-ground links and unmanned aircraft system (UAS)-backbone systems, communication aware sensor distribution, etc are some of the promising aspects of the UAV systems. 2,3 The crucial step towards UAV networks is the development of sustainable multi-UAV environments. National regulations, routing, path planning, quality of service (QoS), integration with Global Information Grid (GIG), mobility control, coordination, and standardization are the steps required for efficient migration towards flying networks (multi-UAV). 4,5 The complexity of the multi-UAV ad hoc networks makes data dissemination also a challenging prospect. Latency, delay, antenna type, timing, etc come into play when we are talking about a network that is so fast moving and dynamic. 6 Multi-UAVs collaborate to achieve common objectives. It is evident that the collaborative UAV and the ground networks together can perform complex tasks. Some of these tasks...

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Efficient data management and control over WSNs using SDN‐enabled aerial networks

Sayeed

Kumar

Sharma

2019

Int J Communication

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“…We assume that there is a nonnegative constant δ 0 > 1 that the equation H max � δ 0 log|V| is followed, so the value ς is rewritten as ς � (δ 0 log |V|Δ max · α)/ (1 − α) 2 . Based on the practical routing implementation, it is reasonable that R ϕ ≥ 0.…”

Section: Lemma 1 If the Routing Policy ϕ Is Followed δT → ∞ And Whmentioning

confidence: 99%

“…Hence, the multi-UAV system is built to improve the operational performance through cooperation. In the case of multi-UAV system [2], to solve the problem that the links between UAVs and GB become disconnected caused by the limited communication radius, an alternative solution is to establish ad hoc networks among UAVs, which are called flying ad hoc networks (FANETs). It does not demand a link between each UAV and GB in FANETs; only a subset of UAVs which have direct links with GB is required to help other UAVs transmitting the packets.…”

Section: Introductionmentioning

confidence: 99%

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Delay-Constrained Routing Based on Stochastic Model for Flying Ad Hoc Networks

Wen

Huang

2018

Mobile Information Systems

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is paper aims at solving the end-to-end delay-constrained routing problem in a local way for flying ad hoc networks (FANETs). Due to the high mobility, it is difficult for each node in FANETs to obtain the global information. To solve this issue, we propose an adaptive delay-constrained routing with the aid of a stochastic model, which allows the senders to deliver the packets with only local information. We represent the problem in a mathematical form, where the effective transmission rate is viewed as the optimization objective and the link quality and end-to-end delay as the constraints. And, some mathematical tools are used to obtain the approximate solutions for the optimization problem. Before designing the routing scheme, the senders calculate the transition probability for its relay node by jointly considering local delay estimation and expected one-hop delay. en, the sender transmits the packets to their relay node with transition probability. Finally, we prove the convergence of the proposed routing algorithm and analyse its performances. e simulation results show that the proposed routing policy can improve the network performance effectively in terms of throughput, loss rate, and end-to-end delay.

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Medium Access Control for Flying Ad Hoc Networks Using Directional Antennas: Challenges, Research Status, and Open Issues

Liu

Peng

et al. 2019

Ad Hoc Networks

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Cooperative frameworks and network models for flying ad hoc networks: a survey

Cited by 47 publications

References 83 publications

Efficient data management and control over WSNs using SDN‐enabled aerial networks

Efficient data management and control over WSNs using SDN‐enabled aerial networks

Delay-Constrained Routing Based on Stochastic Model for Flying Ad Hoc Networks

Medium Access Control for Flying Ad Hoc Networks Using Directional Antennas: Challenges, Research Status, and Open Issues

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