Implementation of a wireless mesh network of ultra light MAVs with dynamic routing

Jiménez-Pacheco, Alberto; Bouhired, Denia; Gasser, Yannick; Zufferey, Jean-Christophe; Floreano, Dario; Rimoldi, Bixio

doi:10.1109/glocomw.2012.6477823

Cited by 21 publications

(7 citation statements)

References 9 publications

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“…(1) Network topology-based routing algorithms. The optimized link state routing (OLSR) protocol was applied to the network consisting of two micro airplanes and a ground station [12]. The results show that the OLSR cannot deal with the rapidly changing topology in a MAV network properly and quickly enough.…”

Section: Related Workmentioning

confidence: 99%

“…Else, the MAV checks whether the destination is its own neighbor node. If the destination is the neighbor, the packet is forwarded to the destination, and the algorithm ends (as shown in steps [6][7][8][9][10][11][12][13][14]. Otherwise, the MAV that is the optimal neighbor i is found by FindBestNeighbour function (step 15).…”

Section: The Dtn Est Algorithm Based On Location Estimationmentioning

confidence: 99%

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Delay Tolerant Packet Forwarding Algorithm Based on Location Estimation for Micro Aerial Vehicle Networks

2020

KSII TIIS

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In search and rescue mission, micro aerial vehicles (MAVs) are typically used to capture image and video from an aerial perspective and transfer the data to the ground station. Because of the power limitation, a cluster of MAVs are required for a large search area, hence an ad-hoc wireless network must be maintained to transfer data more conveniently and fast. However, the unstable link and the intermittent connectivity between the MAVs caused by MAVs' movement may challenge the packet forwarding. This paper proposes a delay tolerant packet forwarding algorithm based on location estimation for MAV networks, called DTN est algorithm. In the algorithm, ferrying MAVs are used to transmit data between MAVs and the ground station, and the locations of both searching MAVs and ferrying MAVs are estimated to compute the distances between the MAVs and destination. The MAV that is closest to the destination is selected greedy to forward packet. If a MAV cannot find the next hop MAV using the greedy strategy, the packets will be stored and re-forwarded once again in the next time slot. The experiment results show that the proposed DTN est algorithm outperforms the typical DTN geo algorithm in terms of packet delivery ratio and average routing hops.Micro aerial vehicles (MAVs) which weigh only a few kilograms, have been widely used in many applications, such as aerial photography, agricultural monitoring, disaster relief, military and so on. MAVs are usually equipped with computing and wireless communication devices, sensors and cameras to collect image and video and transmit them to the ground station [1] [2]. With the characteristics of low cost, portability, and no casualty risk, MAVs have become a hotspot in both academic and industrial fields.A cluster of MAVs is usually required to complete large and complex tasks coordinately, since the energy, flight distance and communication range of each MAV are limited. The cluster of MAVs is typically organized as an ad-hoc multi-hop network to transmit data from MAVs to the ground station [3]. However, packet forwarding is a challenge in practical MAV networks because of unstable links and intermittent connectivity of the network caused by rapid movements of MAVs [4].Since global positioning system (GPS) and inertial measurement unit provide the location information of MAVs [5][6], Mozaffari et al. proposed a geographic routing based method to forward packets to the nodes that are spatially closer to the destination [7]. In practical applications, the motion and the unstable link of MAVs may change the topology of the network frequently, but these geographic routing methods are not adequate for MAV networks that face intermittent connectivity [8].To cope with intermittent connectivity, delay tolerant networking (DTN) is a feasible approach. Using the communication opportunity formed by nodes flying into each other's transmission range to transmit messages hop by hop, Raffelsberger et al. integrated the "store-carry-forward" with the adaptive routing method [9]. However, traditi...

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Section: Related Workmentioning

confidence: 99%

Section: The Dtn Est Algorithm Based On Location Estimationmentioning

confidence: 99%

Delay Tolerant Packet Forwarding Algorithm Based on Location Estimation for Micro Aerial Vehicle Networks

2020

KSII TIIS

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“…They measured detailed data on network throughput, delay, range, and connectivity under different operating regimes and showed that the UAV has longer range and better connectivity with the ground nodes. Jimenez-Pacheco et al [22] also built a mobile ad hoc network (MANET) of light UAVs. The system has implemented a line of sight dynamic routing in the network.…”

Section: Related Workmentioning

confidence: 99%

Development and Testing of a Two-UAV Communication Relay System

Jiang

Sun

et al. 2016

Sensors

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In the development of beyond-line-of-sight (BLOS) Unmanned Aerial Vehicle (UAV) systems, communication between the UAVs and the ground control station (GCS) is of critical importance. The commonly used economical wireless modules are restricted by the short communication range and are easily blocked by obstacles. The use of a communication relay system provides a practical way to solve these problems, improving the performance of UAV communication in BLOS and cross-obstacle operations. In this study, a communication relay system, in which a quadrotor was used to relay radio communication for another quadrotor was developed and tested. First, the UAVs used as the airborne platform were constructed, and the hardware for the communication relay system was selected and built up. Second, a set of software programs and protocol for autonomous mission control, communication relay control, and ground control were developed. Finally, the system was fully integrated into the airborne platform and tested both indoor and in-flight. The Received Signal Strength Indication (RSSI) and noise value in two typical application scenarios were recorded. The test results demonstrated the ability of this system to extend the communication range and build communication over obstacles. This system also shows the feasibility to coordinate multiple UAVs’ communication with the same relay structure.

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“…According to analyzing the characteristics of the scene, messages are transmitted to the direction closer to the ground station and are allowed to be stored and carried during transmission. These methods are likely to cause some specific drones to consume a lot of energy for transmitting messages, which will constrain them from completing other tasks [11].…”

Section: Introductionmentioning

confidence: 99%

PB: A Message Transmission Method Based on Area Layer Division in UAV Networks

Wang

Zhu

Zhou³

et al. 2019

International Journal of Aerospace Engineering

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A search and rescue mission is a typical UAV network application scenario. In this case, it is necessary to deliver messages quickly and efficiently to the ground station through mutual cooperation between UAVs. Many methods used in this case have problems such as unbalanced popularity (the ratio of the relayed message number to the total message number) of nodes, large proportion of ping-pong effect, and long delay. In view of the above problems, this paper proposes a method named PB (Popularity Balance Method for UAVs in the same area layer) based on division of the whole search area. The method divides the search area into multiple area layers. Message transmission between area layers adopts a geographical routing manner, that is, messages are transmitted to the area layer closer to the ground station. The division of the search area changes the pattern of message transmission. Messages are delivered to the area layer closer to the destination node rather than the node closer to the destination. The pattern causes messages’ passing direction to be replaced by “point-to-point closer” to “point-to-face closer.” On the basis of message transmission at area layers, reasonable planning of UAVs’ distribution can effectively improve the network performance deterioration caused by a “hot spot.” Both analysis and experiments show that PB is superior to some existing methods in popularity balance of nodes and ping-pong effect. In addition, experiments also show that it gets better results in targets of delay, delivery rate, and hop count.

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Implementation of a wireless mesh network of ultra light MAVs with dynamic routing

Cited by 21 publications

References 9 publications

Delay Tolerant Packet Forwarding Algorithm Based on Location Estimation for Micro Aerial Vehicle Networks

Delay Tolerant Packet Forwarding Algorithm Based on Location Estimation for Micro Aerial Vehicle Networks

Development and Testing of a Two-UAV Communication Relay System

PB: A Message Transmission Method Based on Area Layer Division in UAV Networks

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