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Open AccessJournal Article

Low Latency Routing Algorithm for Unmanned Aerial Vehicles Ad-Hoc Networks

Abdel Ilah Alshabtat, +1 more
- 20 Aug 2011 - 
- Vol. 5, Iss: 8, pp 989-995
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TLDR
A new routing protocol for Unmanned Aerial Vehicles (UAVs) that equipped with directional antenna that is based on the well known protocol called Optimized Link State Routing Protocol (OLSR) and developed a heuristic that allows DOLSR protocol to minimize the number of the multipoint relays.
Abstract
In this paper, we proposed a new routing protocol for Unmanned Aerial Vehicles (UAVs) that equipped with directional antenna. We named this protocol Directional Optimized Link State Routing Protocol (DOLSR). This protocol is based on the well known protocol that is called Optimized Link State Routing Protocol (OLSR). We focused in our protocol on the multipoint relay (MPR) concept which is the most important feature of this protocol. We developed a heuristic that allows DOLSR protocol to minimize the number of the multipoint relays. With this new protocol the number of overhead packets will be reduced and the End-to-End delay of the network will also be minimized. We showed through simulation that our protocol outperformed Optimized Link State Routing Protocol, Dynamic Source Routing (DSR) protocol and Ad- Hoc On demand Distance Vector (AODV) routing protocol in reducing the End-to-End delay and enhancing the overall throughput. Our evaluation of the previous protocols was based on the OPNET network simulation tool.

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Citations
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Adaptive Communication Protocols in Flying Ad Hoc Network

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References
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Journal ArticleDOI

Simulation-based performance evaluation of routing protocols for mobile ad hoc networks

TL;DR: It is observed that the new generation of on‐demand routing protocols use much lower routing load, especially with small number of peer‐to‐peer conversations, however, the traditional link state and distance vector protocols provide, in general, better packet delivery and end‐to-end delay performance.
Proceedings ArticleDOI

Quality of service routing in ad-hoc networks using OLSR

TL;DR: Heuristics that allow OLSR to find the maximum bandwidth path are developed, and it is proved that for the ad-hoc network model, two of the heuristics are indeed optimal (i.e., guarantee that the highest-bandwidth path between any two nodes is found).
Proceedings ArticleDOI

Making link-state routing scale for ad hoc networks

TL;DR: A novel perspective on the "overhead" of a protocol that includes not only the overhead due to control messages but also due to route sub-optimality is presented, and an analytical model whose solution automatically leads to the best algorithm in this class is formed.
Proceedings ArticleDOI

Airborne traffic surveillance systems: video surveillance of highway traffic

TL;DR: This paper describes how the University of Florida research team implemented a system for ATSS from the ground up, using unmanned aerial vehicles, digital video encoding, and transmission of data and multimedia video streams over FDOT's microwave IP networks.
Proceedings ArticleDOI

On-demand routing using directional antennas in mobile ad hoc networks

TL;DR: Two protocols are presented that reduce the number of routing packets transmitted during the route discovery by limiting the query flood to a restricted region using directional transmissions.
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