Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles

Shukla, Raj Mani; Sengupta, Shamik; Patra, Amar Nath

doi:10.1109/ccwc.2018.8301684

Cited by 10 publications

(7 citation statements)

References 7 publications

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“…Fluctuation in the voltage affects the performance of the electronic instruments. [43] The voltage obtained through the flexible energy harvester can be stored and used in the required time.…”

Section: Bi-axial Cyclic Testmentioning

confidence: 99%

Investigation of high temperature vulcanized and room temperature vulcanized silicone rubber based on flexible piezo‐electric energy harvesting applications with multi‐walled carbon nanotube reinforced composites

et al. 2021

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Flexible energy harvester can be able to produce continuous voltage output under the mechanical deformations. High temperature vulcanized (HTV) and room temperature vulcanized (RTV) silicone rubbers are used for making the flexible piezo‐electric energy harvester. A total of 1 and 2 phr of multi‐walled carbon nanotube (MWCNT) are used as the electrode material mixed with the rubber solution for the preparation of flexible electrode. Cyclic loading machine is used for the application of 2 Hz of bi‐axial load and uniaxial compression load in the specimen. One centimeter depth of displacement is applied during the bi‐axial cyclic loading and 4 mm amplitude of displacement is applied during the compression loading. Tensile and compression tests are performed to determine the engineering properties of the material. Tensile load withstanding value of the silicone rubber is increasing as increasing the MWCNT filler in the rubber. Tensile value of the pure HTV silicone rubber is 10.020 N and for 2 phr MWCNT reinforced rubber is 22.106 N. Compressive withstanding load of pure HTV rubber is 189.565 N and for 2 phr MWCNT reinforced rubber is 287.066 N. HTV silicone rubber is the highly stiffness material on compares with RTV rubber based on the tensile and the compressive value. Transmission electron microscopy, optical micrographs, and scanning electron microscope show the morphology of MWCNT and surface image of specimen. A total of 2 mm substrate based 2 phr MWCNT reinforced HTV flexible energy harvester undergo decrease in voltage during the cyclic loading due to breakage of electrode. A total of 2 phr MWCNT electrode‐based sample can be able to produce more output voltage than 1 phr MWCNT electrode‐based sample during bi‐axial and compression loading. More voltage is produced in the compression specimen than bi‐axial one.

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Section: Bi-axial Cyclic Testmentioning

confidence: 99%

Investigation of high temperature vulcanized and room temperature vulcanized silicone rubber based on flexible piezo‐electric energy harvesting applications with multi‐walled carbon nanotube reinforced composites

et al. 2021

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“…An SDN architecture is presented by Shukla et al [252] to reliably allocate processing and computing resources to UAVs connected to the GCS. The UAVs are hovering over a given area with the aim to reduce the energy consumption and the operating delay.…”

Section: Other Sdn-based Applicationsmentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

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“…An SDN supported algorithm was proposed in [28] to allocate computing and processing resources to UAVs hovering over a certain geographical area and are connected to one base station. The SDN controller deploys a greedy algorithm that accepts the offloaded applications and selects the optimal cloud server with available resources that achieves the required QoS latency of the offloaded task.…”

Section: Relatedworkmentioning

confidence: 99%

Energy- and Latency-Aware Hybrid Offloading Algorithm for UAVs

et al. 2019

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The publication has been prepared with the support of the ''RUDN University Program 5-100.'' ABSTRACT One of the most promising use cases of 5G/IMT2020 is the unmanned aerial vehicle (UAV). Due to their small size, the UAVs are resource constraint devices. To this end, this paper proposes an offloading algorithm for UAVs to assist in the execution of computationally intensive tasks. The proposed algorithm provides two UAV offloading methods. The first offloading method is the air-offloading, where a UAV can offload its computing tasks to nearby UAVs that have available computing and energy resources. The second offloading method is the ground-offloading, which enables the offloading of tasks to an edge cloud server from the multi-level edge cloud units connected to ground stations. The proposed algorithm is energy-and latency-aware, i.e., it selects the execution device and the offloading method based on the latency and energy constraints. The intensive algorithm simulation over reliable conditions for various scenarios with different cases for each scenario is conducted and results are presented. INDEX TERMS UAV, offloading, latency, energy, 5G, MEC. I. INTRODUCTION Unmanned Aerial Vehicles (UAVs), e.g., drones, have gained increasing interest in recent years [1], [2]. With the near release of fifth generation cellular system (5G), UAVs are expected to have many applications. These applications vary from simple environmental monitoring to the complex high security military applications [3]-[5]. There are many challenges associated with the development of UAV networks and applications. These challenges include [6]-[8]: Trajectory or path planning, collision avoidance, mobility control, cost, security, data offloading, energy consumption, latency and compatibility with existing systems and cellular networks. Part of these challenges is associated with the limited capabilities of UAVs, due to their small size, e.g., microdrones, required for many applications [3]. Applications with computationally intensive tasks and applications, e.g., imageor video-based, require high processing and energy resources, which affect real-time operation and lifetime of an UAV system or even cause task blocking. In order to prolong the The associate editor coordinating the review of this manuscript and approving it for publication was Muhammad Imran.

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Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles

Cited by 10 publications

References 7 publications

Investigation of high temperature vulcanized and room temperature vulcanized silicone rubber based on flexible piezo‐electric energy harvesting applications with multi‐walled carbon nanotube reinforced composites

Investigation of high temperature vulcanized and room temperature vulcanized silicone rubber based on flexible piezo‐electric energy harvesting applications with multi‐walled carbon nanotube reinforced composites

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Energy- and Latency-Aware Hybrid Offloading Algorithm for UAVs

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