Routing protocols for video surveillance drones in IEEE 802.11s Wireless Mesh Networks

Katila, Charles Jumaa; Gianni, A.; Buratti, Chiara; Verdone, Roberto

doi:10.1109/eucnc.2017.7980778

Cited by 26 publications

(9 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The recursion is unfolded as follows: In (16b) the aggregate belief definition in ( 12) is used to unpack Λ(h 1 , 1) and again in (16c) for Λ(hc 3 , 2). As α 6 is the boss Λ(6, 2) = λ(6, 2), which is then unfolded in (16d) according to the lower belief definition in (11). According to (6), λ(3, 1) + λ(3, 1)/c d = λ(3, 1), which is used in (16e) to simplify the term.…”

Section: E Propagation Examplementioning

confidence: 99%

“…According to (6), λ(3, 1) + λ(3, 1)/c d = λ(3, 1), which is used in (16e) to simplify the term. In (16f), λ(3, 1) is unpacked according to (11) and recursion halts in (16g). The term is again simplified in (16h) using (6).…”

Section: E Propagation Examplementioning

confidence: 99%

“…A UTONOMOUS multi-agent systems are spurring advances in fields ranging from logistics to inspection, monitoring, surveillance, and forensics [1]- [4]. Emerging applications of this technology include wildfire surveillance [5]- [7], planetary exploration [8], environmental surveying [9], perishable data acquisition [10], on-demand wireless provisioning [11], and aerial package delivery [12]. These applications are specific instances of a more general multiagent tracking problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering

Theile¹,

Ponniah²,

Dantsker³

et al. 2021

Preprint

View full text Add to dashboard Cite

Coordination in multi-agent systems is challenging for agile robots such as unmanned aerial vehicles (UAVs), where relative agent positions frequently change due to unconstrained movement. The problem is exacerbated through the individual take-off and landing of agents for battery recharging leading to a varying number of active agents throughout the whole mission. This work proposes autonomous hierarchical multi-level clustering (MLC), which forms a clustering hierarchy utilizing decentralized methods. Through periodic cluster maintenance executed by cluster-heads, stable multi-level clustering is achieved. The resulting hierarchy is used as a backbone to solve the communication problem for locally-interactive applications such as UAV tracking problems. Using observation aggregation, compression, and dissemination, agents share local observations throughout the hierarchy, giving every agent a total system belief with spatially dependent resolution and freshness. Extensive simulations show that MLC yields a stable cluster hierarchy under different motion patterns and that the proposed belief sharing is highly applicable in wildfire front monitoring scenarios.

show abstract

Section: E Propagation Examplementioning

confidence: 99%

Section: E Propagation Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering

Theile¹,

Ponniah²,

Dantsker³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…RM-AODV protocol has been proposed by the IEEE 802.11s standard [79]. When mesh protocols (MPs) are mobile and designed to work at layer 2 with MAC address in the place of layer 3, RM-AODV is perfect in this case.…”

Section: B: Radiometric Ad-hoc On-demand Distance Vector (Rm-aodv)mentioning

confidence: 99%

Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey

2019

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) have gained popularity for diverse applications and services in both the military and civilian domains. For cooperation and collaboration among UAVs, they can be wirelessly interconnected in an ad hoc manner, resulting in a UAV network. UAV networks have unique features and characteristics that are different from mobile ad hoc networks and vehicular ad hoc networks. The dynamic behavior of rapid mobility and topology changes in UAV networks makes the design of a routing protocol quite challenging. In this paper, we review the routing protocols for UAV networks, in which the topology-based, position-based, hierarchical, deterministic, stochastic, and social-network-based routing protocols are extensively surveyed. The routing protocols are then compared qualitatively in terms of their major features, characteristics, and performance. Open issues and research challenges are also discussed in the perspective of design and implementation.INDEX TERMS Unmanned aerial vehicle network, flying ad hoc network, drone ad hoc network, routing protocol, rapid mobility, dynamic topology, scalability.

show abstract

“…Video surveillance scenarios have also been studied in the literature, using IEEE 802.11 mesh networking as enabling technology. In [24], a video surveillance system for a large outdoor area based on an IEEE 802.11s mesh network is described. More in detail, the authors mount a camera on a drone moving over the area of interest and sending the video to a control center.…”

Section: Applicationsmentioning

confidence: 99%

Wireless Mesh Networking: An IoT-Oriented Perspective Survey on Relevant Technologies

et al. 2019

View full text Add to dashboard Cite

The Internet of Things (IoT), being a “network of networks”, promises to allow billions of humans and machines to interact with each other. Owing to this rapid growth, the deployment of IoT-oriented networks based on mesh topologies is very attractive, thanks to their scalability and reliability (in the presence of failures). In this paper, we provide a comprehensive survey of the following relevant wireless technologies: IEEE 802.11, Bluetooth, IEEE 802.15.4-oriented, and Sub-GHz-based LoRa. Our goal is to highlight how various communication technologies may be suitable for mesh networking, either providing a native support or being adapted subsequently. Hence, we discuss how these wireless technologies, being either standard or proprietary, can adapt to IoT scenarios (e.g., smart cities and smart agriculture) in which the heterogeneity of the involved devices is a key feature. Finally, we provide reference use cases involving all the analyzed mesh-oriented technologies.

show abstract

Routing protocols for video surveillance drones in IEEE 802.11s Wireless Mesh Networks

Cited by 26 publications

References 16 publications

Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering

Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering

Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey

Wireless Mesh Networking: An IoT-Oriented Perspective Survey on Relevant Technologies

Contact Info

Product

Resources

About