Deployment and Connectivity Repair of a Sensor Net with a Flying Robot

Corke, Peter; Hrabar, Stefan; Peterson, Ronald; Rus, Daniela; Saripalli, Srikanth; Sukhatme, Gaurav S.

doi:10.1007/11552246_32

Cited by 56 publications

(40 citation statements)

References 19 publications

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“…Most deployment algorithm studies mainly focus on the incremental algorithm node deployment, virtual force algorithm, the deployment algorithm based on grid nodes, probabilistic detection model algorithm, various groups intelligent algorithm and other algorithms [3][4][5][6][7]. Incremental algorithm node deployment was described by Andrew Howard et al in 2002 [3].…”

Section: State Of Artmentioning

confidence: 99%

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Method of Wireless Sensor Network Node Deployment for the Emergency Environment

Ge¹,

Wang²,

Hu³

et al. 2017

Int. J. Onl. Eng.

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Abstract-Incidents could not always be avoided, resulting in significant losses for the state property and people's safety. Effective monitoring of incidents is becoming more and more important. Wireless sensor networks (WSNs) are widely used in environmental monitoring. On the basis of the existing wireless sensor network node deployment model, a network node deployment model was proposed, which was used in the monitoring of unexpected accidents. The model area was divided into the core area and the evacuation area, and different monitoring nodes deployment plans were applied in different areas. The simulation experiment is carried out by MATLAB, and the simulation results of the node coverage are obtained. Results show that the model for the practical application of the node deployment provides an effective deployment plan, as well as offers a strong basis for real-time monitoring and post-accident emergency evacuation.

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Section: State Of Artmentioning

confidence: 99%

“…In some key applications, in order to ensure high reliability of target area monitoring, the target area is divided into some areas based on characters, and each area has different cover-age ratio. The coverage area coverage algorithm can be used to self-organizing network [7].…”

Section: The Detection Model Of Core Areamentioning

confidence: 99%

Method of Wireless Sensor Network Node Deployment for the Emergency Environment

Ge¹,

Wang²,

Hu³

et al. 2017

Int. J. Onl. Eng.

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“…The closest experimental approach to this concept found in the literature was the use of autonomous helicopters for the deployment and repairing of a wireless sensor network (Corke et al, 2004b;Corke et al, 2004a). which uses a artificial horizon instrument to guide the pilot.…”

Section: Introductionmentioning

confidence: 99%

Autonomous transportation and deployment with aerial robots for search and rescue missions

Bernard

Kondak

Maza

et al. 2011

Journal of Field Robotics

329

159

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It is generally accepted that systems composed of multiple aerial robots with autonomous cooperation capabilities can assist responders in many search and rescue (SAR) scenarios.In most of the previous research work, the aerial robots are mainly considered as platforms for environmental sensing and have not been used to assist victims. In this paper, outdoors field experiments of transportation and accurate deployment of loads, with single/multiple autonomous aerial vehicles are presented. This is a novel feature that opens the possibility to use aerial robots to assist victims during the rescue phase operations. cooperative sensing, using several different sensor types. The system supports several forms of cooperative actuation as well, ranging from the cooperative deployment of small sensors/objects to the coupled transportation of slung loads.Within this paper the complete system is described, outlining the used hardware and software framework, as well as the used approaches for modeling and control. Additionally, the results of several flight field experiments are presented, including the description of the worldwide first successful autonomous load transportation experiment, using three coupled small size helicopters (conducted in December 2007). During these experiments strong steady winds and wind gusts were present. Various solutions and lessons learned from the design and operation of the system are also provided.

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“…During this phase, sensors are either arranged manually or deployed randomly using for example flying robot or helicopter [2]. The deployment greatly affects the next phase which is the routing phase.…”

Section: Introductionmentioning

confidence: 99%

Agent Based Multipath Routing in wireless sensor networks

Ramadan

2009

2009 IEEE Symposium on Intelligent Agents

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Abstract-recently, mobile agents have been used to solve many problems in wireless sensor networks. Agents are usually transferred from a node to another to aggregate the sensed data and simplify the complexity of the routing algorithms. Intelligent agents can reduce the communication cost over a very low bandwidth links among the sensors. However, agents are still new to sensor networks. Small numbers of the research papers have been published in such area. In this paper, we propose an Agent Based Multipath Routing (ABMR) algorithm for wireless sensor network. The algorithm considers many of the sensors and the monitored field parameters such as energy, reliability, and number of hops, as well as the data importance. The algorithm builds a reliable multiple paths from the source to the destination. The number of paths is selected based on the importance of the sensed data. Intelligent agents are designed to construct the multipath as well as to send the sensed data to its destination. To show the effectiveness of the proposed algorithm, ABMR is compared to non-agent based algorithm (NABMR) as well as to one of the recent multipath routing algorithm through an extensive set of experiments.

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Deployment and Connectivity Repair of a Sensor Net with a Flying Robot

Cited by 56 publications

References 19 publications

Method of Wireless Sensor Network Node Deployment for the Emergency Environment

Method of Wireless Sensor Network Node Deployment for the Emergency Environment

Autonomous transportation and deployment with aerial robots for search and rescue missions

Agent Based Multipath Routing in wireless sensor networks

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