A mobility and load aware OLSR routing protocol for UAV mobile ad-hoc networks

Zheng, Yi; Wang, Yuwen; Li, Zhenzhen; Li, Dong; Jiang, Yu; Zhang, Hong

doi:10.1049/cp.2014.0575

Cited by 65 publications

(43 citation statements)

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“…A dynamic routing algorithm improved from the dynamic source routing algorithm (DSR [4]) and proposed by Ehssan S. et al [10] by selecting relatively static nodes according to the Doppler frequency shift was applied to the aeronautical ad hoc networks (AANETs) with high-speed nodes. Zheng, Y. et al [11] proposed the mobility and load aware OLSR (ML-OLSR) protocol, which combined mobile sensing and load sensing with the procedures of selecting more stable nodes as the multi point relay (MPR) points, and lower-load routing to reduce the average end-to-end delay. The protocol is applicable to the unmanned aerial vehicle (UAV) networks with high-speed nodes and unbalanced loads.…”

Section: Topology Change Perception Methods and Processing Methodsmentioning

confidence: 99%

“…Neighbor node or link mobility awareness [10][11][12][13][14][15][16][17]19,20]. • Neighbor node mobility awareness combined with congestion level perception [11,12,15].…”

mentioning

confidence: 99%

“…These mobility aware methods can also be divided into location aided [11,13,14,16,17] and non-location aided [10,12,15,19,20]. The former refers to estimating the neighbor node/path mobility by means of information from auxiliary devices, such as global positioning system (GPS) receivers, with the advantage of simple and fast calculation and the disadvantage of introducing GPS errors and new interference.…”

mentioning

confidence: 99%

“…• Selecting stable node/link during route discovery [10][11][12][13]17,19]. • Excluding or preventing high mobility nodes from participating in route discovery [15,16].…”

mentioning

confidence: 99%

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TARCS: A Topology Change Aware-Based Routing Protocol Choosing Scheme of FANETs

Hong

Zhang

2019

Electronics

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The rapid change of topology is one of the most important factors affecting the performance of the routing protocols of flying ad hoc networks (FANETs). A routing scheme suitable for highly dynamic mobile ad hoc networks is proposed for the rapid change of topology in complex scenarios. In the scheme moving nodes sense changes of the surrounding network topology periodically, and the current mobile scenario is confirmed according to the perceived result. Furthermore, a suitable routing protocol is selected for maintaining network performances at a high level. The concerned performance metrics are packet delivery ratio, network throughput, average end-to-end delay and average jitter. The experiments combine the random waypoint model, the reference point group mobility model and the pursue model to a chain scenario, and simulate the large changes of the network topology. Results show that an appropriate routing scheme can adapt to rapid changes in network topology and effectively improve network performance. Abstract:The rapid change of topology is one of the most important factors affecting the performance of the routing protocols of flying ad hoc networks (FANETs). A routing scheme suitable for highly dynamic mobile ad hoc networks is proposed for the rapid change of topology in complex scenarios. In the scheme moving nodes sense changes of the surrounding network topology periodically, and the current mobile scenario is confirmed according to the perceived result. Furthermore, a suitable routing protocol is selected for maintaining network performances at a high level. The concerned performance metrics are packet delivery ratio, network throughput, average end-to-end delay and average jitter. The experiments combine the random waypoint model, the reference point group mobility model and the pursue model to a chain scenario, and simulate the large changes of the network topology. Results show that an appropriate routing scheme can adapt to rapid changes in network topology and effectively improve network performance.

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Section: Topology Change Perception Methods and Processing Methodsmentioning

confidence: 99%

“…Neighbor node or link mobility awareness [10][11][12][13][14][15][16][17]19,20]. • Neighbor node mobility awareness combined with congestion level perception [11,12,15].…”

mentioning

confidence: 99%

mentioning

confidence: 99%

“…• Selecting stable node/link during route discovery [10][11][12][13]17,19]. • Excluding or preventing high mobility nodes from participating in route discovery [15,16].…”

mentioning

confidence: 99%

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TARCS: A Topology Change Aware-Based Routing Protocol Choosing Scheme of FANETs

Hong

Zhang

2019

Electronics

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“…The authors are able to decrease the end-toend delay significantly. The authors of [8] present Mobility and Load aware OLSR (ML-OLSR) as an extension to the well-known Optimized Link State Routing (OLSR) protocol and uses information about the nodes movement direction to optimize the multipoint relay selection. The results show an improved packet delivery ratio (PDR).…”

Section: Swarm Exploration Plume Explorationmentioning

confidence: 99%

B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks

Sliwa

Behnke

Ide

et al. 2016

2016 IEEE Globecom Workshops (GC Wkshps)

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Efficient routing is one of the key challenges of wireless networking for unmanned aerial vehicles (UAVs) due to dynamically changing channel and network topology characteristics. Various well known mobile-ad-hoc routing protocols, such as AODV, OLSR and B.A.T.M.A.N. have been proposed to allow for proactive and reactive routing decisions. In this paper, we present a novel approach which leverages application layer knowledge derived from mobility control algorithms guiding the behavior of UAVs to fulfill a dedicated task. Thereby a prediction of future trajectories of the UAVs can be integrated with the routing protocol to avoid unexpected route breaks and packet loss. The proposed extension of the B.A.T.M.A.N. routing protocol by a mobility prediction component -called B.A.T.Mobile -has shown to be very effective to realize this concept. The results of in-depth simulation studies show that the proposed protocol reaches a distinct higher availability compared to the established approaches and shows robust behavior even in challenging channel conditions.

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Advanced hybrid secure multipath optimized routing in Internet of Things (IoT)‐based WSN

Kala

Karthik²,

Srihari

2021

Int J Communication

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Summary Exploration has been done on Internet of Things (IoT) with accentuation on the security like remote system security, correspondence security, sensor information security, respectability of physical signals, and impelling gadgets. The procedure for current security is not reasonable for IoT applications as gadgets that are included at the ground level have some of the restricted assets, low multifaceted nature, and vitality requirements. IoT being a system of systems permits billions of people and machines to connect with each other. IoT offers us a chance to build compelling organizations, applications for assembling, lifesaving arrangements, appropriate development, and the sky is the limit from there. The manuscript proposes a broad review of the IoT innovation and its differed applications in life sparing, brilliant urban communities, rural, mechanical by looking into the ongoing examination work. Existing strategies manage static remote sensor web to reason the interruptions in which the sensor hubs are conveyed in a uniform way to hold the consistency. Since the sensor hubs are referred to through various transmission locales having a determination of sensor checking hubs has become a difficult activity in ongoing examination. The enemies are additionally moving starting with one area then onto the next to investigate its particular tasks around the system. Hence, to given adaptable security, a protected routing along with the observing convention with multivariation tuples utilizing two‐fish symmetric key (TFSK) way to deal with the foes in the worldwide sensor organize. The proposed approach is the advanced hybrid secure multipath optimized routing in Internet of Things (IoT)‐based WSN. The two methodologies that are involved making a better routing protocol is the enhanced‐multipath optimized link state routing (E‐MP‐OLSR) and secure and efficient ad hoc on‐demand multipath distance vector (SE‐AOMDV) protocols. Besides, the proposed directing system is tough to different versatile foes; and henceforth, it guarantees multipath conveyance.

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A mobility and load aware OLSR routing protocol for UAV mobile ad-hoc networks

Cited by 65 publications

References 0 publications

TARCS: A Topology Change Aware-Based Routing Protocol Choosing Scheme of FANETs

TARCS: A Topology Change Aware-Based Routing Protocol Choosing Scheme of FANETs

B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks

Advanced hybrid secure multipath optimized routing in Internet of Things (IoT)‐based WSN

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