Open AccessJournal Article
Low Latency Routing Algorithm for Unmanned Aerial Vehicles Ad-Hoc Networks
Abdel Ilah Alshabtat,Liang Dong +1 more
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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.read more
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Journal ArticleDOI
Survey of Important Issues in UAV Communication Networks
Lav Gupta,Raj Jain,Gabor Vaszkun +2 more
TL;DR: This paper surveys the work done toward all of the outstanding issues, relating to this new class of networks, so as to spur further research in these areas.
Journal ArticleDOI
Flying Ad-Hoc Networks (FANETs)
TL;DR: In this paper, Flying Ad-Hoc Networks (FANETs) are surveyed which is an ad hoc network connecting the UAVs, and the main FANET design challenges are introduced.
Journal ArticleDOI
UAV assistance paradigm: State-of-the-art in applications and challenges
Bander A. Alzahrani,Omar Sami Oubbati,Ahmed Barnawi,Mohammed Atiquzzaman,Daniyal M. Alghazzawi +4 more
TL;DR: This comprehensive survey both studies and summarizes the existing UAV-assisted research, such as routing, data gathering, cellular communications, Internet of Things (IoT) networks, and disaster management that supports existing enabling technologies.
Journal ArticleDOI
Adaptive Communication Protocols in Flying Ad Hoc Network
TL;DR: The proposed adaptive hybrid communication protocols including a novel position-prediction-based directional MAC protocol (PPMAC) and a self-learning routing protocol based on reinforcement learning (RLSRP) have the potential to provide an intelligent and highly autonomous communication solution for FANETs.
Journal ArticleDOI
Routing Protocols for Unmanned Aerial Vehicles
Jinfang Jiang,Guangjie Han +1 more
TL;DR: In this article, a somewhat complete survey of the routing protocols designed for UAVs is presented, and the performance of existing routing protocols is compared in detail.
References
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Proceedings ArticleDOI
Routing improvement using directional antennas in mobile ad hoc networks
Amit Kumar Saha,David B. Johnson +1 more
TL;DR: The initial design and evaluation of two techniques for routing improvement using directional antennas in mobile ad hoc networks are presented and the effectiveness of the design in the context of the dynamic source routing protocol (DSR) is demonstrated.
Journal ArticleDOI
The performance impact of traffic patterns on routing protocols in mobile ad hoc networks
TL;DR: The simulation results show that many of the conclusions drawn in previous protocol comparison studies no longer hold under the new traffic patterns, motivating the need for performance evaluation of ad hoc networks to not only include rich and diverse mobility models as has been done in the past but also include diverse traffic patterns that stress a wide set of protocol design issues.
Mobile IP and Ad Hoc Networks: An Integration and Implementation Experience
Abstract: Mobile IP has been widely accepted as a standard to support IP mobility in a wireless Internet environment to keep a session connected when a mobile host roams from subnet to subnet. Another emerging wireless network architecture that is gaining more and more popularity is the mobile ad hoc network (MANET) , which can be flexibly deployed in almost any environment without the need of infrastructure base stations. In order to move to an all-IP environment, there seems to be a growing demand to integrate these two architectures together. Typically, mobile hosts are served by access points that can connect to them directly (in one hop). In this paper, we propose to extend access points to multiple MANETs, each as a subnet of the Internet, and discuss how to support Mobile IP in such environment. Such integration is beneficial to both societies. From Mobile IP’s prospective, Forei gn Agents’ service areas are not limited to hosts within a single (wireless) hop any more. From MANET’s prospective, mobile hosts can immediately enjoy tremendous services already existing on the Internet through Mobile IP. This article reports our integration and implementation experience based on IEEE 802.11b wireless LANs. Issues such as overlapping of MANETs, dynamic adjustment of mobile agents’ service coverages, support of local broadcast and various communication scenarios are addressed. Discussion also covers required adjustments of Mobile IP to support such architecture.
Proceedings ArticleDOI
Scalable ad hoc routing in large, dense wireless networks using clustering and landmarks
TL;DR: This paper proposes two techniques to overcome density and large scale, namely passive clustering and landmark routing, and compares via simulation the proposed solutions to other existing scalable schemes.
Proceedings ArticleDOI
Placement of UAVs as Communication Relays Aiding Mobile Ad Hoc Wireless Networks
Izhak Rubin,Runhe Zhang +1 more
TL;DR: This paper presents a method and algorithm that is used to place relay nodes, such as UAVs, in locations that efficiently serve to support the robustness and capacity requirements of the underlying mobile ad hoc wireless network system, and to compute the optitmal regulation and distribution of traffic flow classes across terrestrial and UAV based routes.