Beyond traditional DTN routing: social networks for opportunistic communication

Schurgot, Mary R.; Comaniciu, Cristina; Jaffrès‐Runser, Katia

doi:10.1109/mcom.2012.6231292

Cited by 81 publications

(41 citation statements)

References 17 publications

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“…Integration of some level of randomness may benefit performance. This is relatively a new area and more work needs to be done before it can be appropriately exploited [64]. Some applications of UAV networks, e.g., providing communication over a disaster prone area or communication over an oil drilling platform, may provide an environment where this type of routing can be applied.…”

Section: ) Social Network Based Routingmentioning

confidence: 99%

Survey of Important Issues in UAV Communication Networks

Gupta

Jain

Vaszkun

2016

IEEE Commun. Surv. Tutorials

1,860

859

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Abstract-Unmanned Aerial Vehicles (UAVs) have enormous potential in the public and civil domains. These are particularly useful in applications where human lives would otherwise be endangered. Multi-UAV systems can collaboratively complete missions more efficiently and economically as compared to single UAV systems. However, there are many issues to be resolved before effective use of UAVs can be made to provide stable and reliable context-specific networks. Much of the work carried out in the areas of Mobile Ad Hoc Networks (MANETs), and Vehicular Ad Hoc Networks (VANETs) does not address the unique characteristics of the UAV networks. UAV networks may vary from slow dynamic to dynamic; have intermittent links and fluid topology. While it is believed that ad hoc mesh network would be most suitable for UAV networks yet the architecture of multi-UAV networks has been an understudied area. Software Defined Networking (SDN) could facilitate flexible deployment and management of new services and help reduce cost, increase security and availability in networks. Routing demands of UAV networks go beyond the needs of MANETS and VANETS. Protocols are required that would adapt to high mobility, dynamic topology, intermittent links, power constraints and changing link quality. UAVs may fail and the network may get partitioned making delay and disruption tolerance an important design consideration. Limited life of the node and dynamicity of the network leads to the requirement of seamless handovers where researchers are looking at the work done in the areas of MANETs and VANETs, but the jury is still out. As energy supply on UAVs is limited, protocols in various layers should contribute towards greening of the network. This article surveys the work done towards all of these outstanding issues, relating to this new class of networks, so as to spur further research in these areas.Index Terms-Unmanned Aerial Vehicle, UAV, Multi-UAV Networks, ad hoc networks, communication networks, wireless mesh networks, software defined network, routing, seamless handover, energy efficiency I. INTRODUCTION A. The growing importance of UAV networksUnmanned Aerial Vehicles (UAVs) are an emerging The latter ones are proving to be quite useful in civilian applications. As described by Daniel and Wietfeld in [1] they are likely to become invaluable inclusions in the operations of police departments, fire brigades and other homeland security organizations in the near future. Besides, advances in electronics and sensor technology have widened the scope of UAV network applications [2] to include applications as diverse as traffic monitoring, wind estimation and remote sensing [3].In this context it would be relevant to mention that the current FAA guidelines allow a government public safety agency to operate unmanned aircraft weighing 4.4 pounds or less, within the line of sight of the operator; less than 400 feet above the ground; during daylight conditions; within Class G airspace; and outside of 5 statute miles from any airport, heliport, seapl...

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Section: ) Social Network Based Routingmentioning

confidence: 99%

Survey of Important Issues in UAV Communication Networks

Gupta

Jain

Vaszkun

2016

IEEE Commun. Surv. Tutorials

1,860

859

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“…[14] Thus, they can be considered as a generalization of DTNs. [5] Device discovery is essentially the first step of opportunistic communication.For example, as shown in Figure 1, the user at the desktop opportunistically exchanges information, via a WiFi ad hoc link or through Bluetooth, a message for a friend to a user passing nearby, "hoping" that this user will carry the information closer to the destination. This user passes close to a train station, using Dynamic Source Routing(DSR) and forwards the message to a traveler going to the same city where the destination user works.…”

Section: Opportunistic Conceptmentioning

confidence: 99%

An Introduction to Wireless Mobile Social Networking in Opportunistic Communication

Kaur¹

2013

IJDPS

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“…These challenges stem from high delay, such as inter-planetary networks, harsh propagation environments, node mobility, lack of infrastructure, such as rural and remote areas, and military battlefields, limited power, such as mobile sensor networks, etc. DTNs, opportunistic networks or wireless sensor networks constitute typical challenged network examples [1].…”

Section: Introductionmentioning

confidence: 99%

XOR network coding for data mule delay tolerant networks

Jakllari

Poulliat

2015

2015 IEEE/CIC International Conference on Communications in China (ICCC)

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We propose a simple yet efficient scalable scheme for improving the performance of Delay Tolerant Networks (DTNs) with data mules by using XOR network coding. We carry out a theoretical analysis based on a model abstracted from the Village Communication Networks (VCNs), beginning with two villages and then extending to N villages. We also examine how the delivery probability is affected by the different overlapping intervals of two data mules. The theoretical analysis indicates that the maximum delivery probability increases by 50% and our simulation results illustrate this point, showing that the overhead ratio and average delay are reduced as well. Finally, our scheme is applied to a real network, the Toulouse public transportation network. We analyze the dataset, calculate the overlapping intervals of inter-vehicles and the amount of data that transit vehicles can exchange in one day, showing a 54.4% improvement in throughput.

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Beyond traditional DTN routing: social networks for opportunistic communication

Cited by 81 publications

References 17 publications

Survey of Important Issues in UAV Communication Networks

Survey of Important Issues in UAV Communication Networks

An Introduction to Wireless Mobile Social Networking in Opportunistic Communication

XOR network coding for data mule delay tolerant networks

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