Optimization of Wireless Sensor Network and UAV Data Acquisition

Ho, Tu Dac; Grøtli, Esten Ingar; Sujit, P. B.; Johansen, Tor Arne; Sousa, João Borges de

doi:10.1007/s10846-015-0175-5

Cited by 127 publications

(79 citation statements)

References 34 publications

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“…Abdulla et al consider drones performing cyclic moves along some given trajectory; in this setting, stationary sensors have to schedule time slots for data transmission to drones. Other articles consider WSNs with hierarchical data transmission , where information may have to travel many (more than two) hops via sensors and/or drones before reaching the base station (see Figure ) . Here, drones collect data only from a subset of sensors (so‐called sink nodes or cluster heads), which in turn aggregate data from their neighboring sensors.…”

Section: Planning Drone Operationsmentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well as in deliveries of packages. In some applications, like disaster management, transport of medical supplies, or environmental monitoring, aerial drones may even help save lives. In this article, we provide a literature survey on optimization approaches to civil applications of UAVs. Our goal is to provide a fast point of entry into the topic for interested researchers and operations planning specialists. We describe the most promising aerial drone applications and outline characteristics of aerial drones relevant to operations planning. In this review of more than 200 articles, we provide insights into widespread and emerging modeling approaches. We conclude by suggesting promising directions for future research.

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Section: Planning Drone Operationsmentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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“…One of the benefits of using MILP is that it gives a global optimal solution, and is therefore suitable for the benchmarking of other, possibly sub-optimal methods. One such method is Particle Swarm Optimization (PSO), Kennedy and Eberhart (1995), which has successfully been applied for optimal path planning for UAVs in e.g Sujit and Beard (2009), Ho et al (2013) and Ho et al (2015). However, it turned out that PSO is not very well suited for an implementation of an optimization problem similar to that of Section 3.…”

Section: Discussionmentioning

confidence: 99%

Motion- and Communication-Planning of Unmanned Aerial Vehicles in Delay Tolerant Network using Mixed-Integer Linear Programming

Grøtli

Johansen

2016

MIC

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Large amounts of data are typically generated in applications such as surveillance of power lines and railways, inspection of gas pipes, and security surveillance. In the latter application it is a necessity that the data is transmitted to the control centre "on-the-fly" for analysis. Also missions related to other applications would greatly benefit from near real-time analysis and operator interaction based on captured data. This is the motivation behind this paper on coarse offline motion-and communication-planning for cooperating Unmanned Aerial Vehicles (UAVs). A Mixed-Integer Linear Programming (MILP) problem is defined in order to solve the surveillance mission. To efficiently transmit the data back to the base station the vehicles are allowed to store data for later transmission and transmit via other vehicles, in addition to direct transmission.The paths obtained by solving the optimization problem are analyzed using a realistic radio propagation path loss simulator. If the radio propagation path loss exceeds the maximum design criterion the optimization problem is solved again with a stricter communication constraint, and the procedure is continued in an iterative manner until the criterion is met. The proposed algorithm is supported by simulations showing the resulting paths and communication topologies for different choices of delay tolerance.

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“…One way to extend the UAV's flight time is to make an optimal flight plan of the UAV to save its precious energy. Papers [9,17] deal with this issue. Another way to extend a UAV's flight time is to make multiple UAVs serve for the UAV-based WSN simultaneously.…”

Section: Extension Of Uav Flight Timementioning

confidence: 99%

A UAV-Aided Cluster Head Election Framework and Applying Such to Security-Driven Cluster Head Election Schemes: A Survey

Wang

Lee

Ahn

et al. 2018

Security and Communication Networks

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UAS (Unmanned Aerial Systems) are now drawing a lot of attention from academic and research fields as well as the general public. The UAS is expected to provide many promising applications such as intelligent transportation system, disaster management, search and rescue, public safety, smart delivery, wild species monitoring, and wireless service area extension. More specifically, as a part of the wireless service extension, we deal with the information dissemination and collection using a UAV in this paper. In this application, because the UAV communicates with each CH (Cluster Head) to collect data from sensor nodes or to disseminate information to the sensor nodes, well-behaved and qualified nodes should be elected as CHs and their integrity should be preserved. Even though a UAV makes the information dissemination and collection process efficient in a WSN, we can make the UAV help the election of new CHs to mitigate the threat of compromised CHs. To this aim, we first propose a UAV-aided CH election framework where a UAV delivers the critical information collected from sensors to the sink, and the sink reselects a set of well-behaved and qualified CHs considering the information. Then, we classify the existing security-driven CH election schemes into several categories and explain the principle of each category and its representative schemes. For each representative scheme, we also explain how to adapt it into the UAV-aided CH election framework. Next, we identify some desirable security properties that a CH election scheme should provide and reveal the security level that each representative scheme reaches for the desirable security properties. Next, we compare communication and computation overhead of the security-driven CH election schemes in terms of the big O notation. In conclusion, we reveal what we have learned from this survey work and provide a future work item.

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Optimization of Wireless Sensor Network and UAV Data Acquisition

Cited by 127 publications

References 34 publications

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Motion- and Communication-Planning of Unmanned Aerial Vehicles in Delay Tolerant Network using Mixed-Integer Linear Programming

A UAV-Aided Cluster Head Election Framework and Applying Such to Security-Driven Cluster Head Election Schemes: A Survey

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