Flying robot - A drone for urban warfare

Karthigeyan, P.; Raja, M.; Prabu, S.; Gnanaselvam, R.

doi:10.1109/pervasive.2015.7087127

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…The motivation to write this paper comes from the extensive use case of drones. [1] presents the use of drones in data collection and patrolling. [2] presents the idea of using Multiple Micro Aerial Vehicles in search and rescue operations in disasterhit regions.…”

Section: Fig1 Introduction To Drone Communicationmentioning

confidence: 99%

Aerial and Under-water Dronal Communication: Potentials, Issues and Vulnerabilities

Srinivasan*¹,

Ramaneswaran²,

Subramanian³

et al. 2019

IJITEE

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The use of UAVs has been on the rise since the past decade. These UAVs are very versatile and can be applied to several fields ranging from agriculture to military reconnaissance. Due to the immense functionality of the UAVs, it has now become a very popular topic in Research. With the advent of Deep Learning and Machine Learning the autonomous navigation functionalities have been improved but it still poses a challenge as navigating a drone involves the integration of its software and hardware functionalities. This paper reviews both indoor and outdoor navigation. Topics in navigation such as Control, Hardware, Algorithms, Path-Planning, and communication are touched upon in this paper. The paper also presents a discussion on the Navigation of UAVs using visionbased technologies, this technology encompasses the use of various sensors and cameras and integrate it with the navigation system of the UAV to ensure the success of UAV’s operation. UAVs play a pivotal role in networking, many applications have been developed which have UAVs as an important component in them. Their applications include Urban computing, Internet of Things, Ubiquitous Computing to name a few. Safely operating a UAV as a network node is not a simple task, these nodes are prone to various types of attacks. A new type of attack introduced in this paper is termed as “Coagulation Attack”. This attack gets its name from the coagulation property of fluids wherein fluids clot and their particles settle down. This paper explores the concept, issues, challenges and research aspects of Coagulation attack. This paper also introduces the concept of Underwater Wireless Communication. On a planet where 70% of the surface is covered in water, UWC has a lot of potentials to be exploited. Moreover UWC is critical in many key areas of Maritime research, commerce, and surveillance. UWC is used for experimental observation, data collection and analysis, underwater navigation, disaster prevention and early detection warning of a tsunami. In addition, we summarize emerging technologies in the UWC, future research directions and recommendations using fifth-generation (5G) communication techniques.

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Section: Fig1 Introduction To Drone Communicationmentioning

confidence: 99%

Aerial and Under-water Dronal Communication: Potentials, Issues and Vulnerabilities

Srinivasan*¹,

Ramaneswaran²,

Subramanian³

et al. 2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…For example, UAVs are used in several areas, including mail delivery, safety monitoring, smart cities, transport management, and even disaster management [ 4 ]. In military application, drones are deployed for surveillance system [ 5 ] and enemy engagement [ 6 ]. Moreover, the importance of drone deployment has been shown recently from atmospheric applications point of view.…”

Section: Introductionmentioning

confidence: 99%

A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks

Valentino

Jung

2018

Sensors

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Drones have recently become extremely popular, especially in military and civilian applications. Examples of drone utilization include reconnaissance, surveillance, and packet delivery. As time has passed, drones’ tasks have become larger and more complex. As a result, swarms or clusters of drones are preferred, because they offer more coverage, flexibility, and reliability. However, drone systems have limited computing power and energy resources, which means that sometimes it is difficult for drones to finish their tasks on schedule. A solution to this is required so that drone clusters can complete their work faster. One possible solution is an offloading scheme between drone clusters. In this study, we propose an opportunistic computational offloading system, which allows for a drone cluster with a high intensity task to borrow computing resources opportunistically from other nearby drone clusters. We design an artificial neural network-based response time prediction module for deciding whether it is faster to finish tasks by offloading them to other drone clusters. The offloading scheme is conducted only if the predicted offloading response time is smaller than the local computing time. Through simulation results, we show that our proposed scheme can decrease the response time of drone clusters through an opportunistic offloading process.

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ACODS: adaptive computation offloading for drone surveillance system

Jung

Yim

et al. 2017

2017 16th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net)

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Flying robot - A drone for urban warfare

Cited by 5 publications

References 5 publications

Aerial and Under-water Dronal Communication: Potentials, Issues and Vulnerabilities

Aerial and Under-water Dronal Communication: Potentials, Issues and Vulnerabilities

A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks

ACODS: adaptive computation offloading for drone surveillance system

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