QoS-Guaranteed Bandwidth Shifting and Redistribution in Mobile Cloud Environment

Misra, Sudip; Das, Snigdha; Khatua, Manas; Obaidat, Mohammad S.

doi:10.1109/tcc.2013.19

Cited by 82 publications

(35 citation statements)

References 33 publications

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“…The cloud computing system is capable of optimizing the resource configuration according to the user demands in the FANET considered. In [15], Misra et al addressed the problems of geographically non-uniform bandwidth demand by invoking a range of techniques developed for mobile cloud computing. Specifically, due to the node mobility, bandwidth reallocation was used for satisfying a guaranteed quality-ofservice.…”

Section: Cloud-based Stability Control For Hierarchical Uav Networkmentioning

confidence: 99%

Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones

Wang

Jiang²,

Han

et al. 2017

IEEE Veh. Technol. Mag.

407

185

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Abstract-Unmanned Aerial Vehicles (UAV) have been widely used both in military and in civilian applications. However, the cooperation of small and mini drones in a network is capable of further improving both the performance and the coverage area of UAVs. Naturally, there are numerous new challenges to be solved before the wide-spread introduction of multi-UAV based heterogeneous Flying Ad Hoc Networks (FANET), including the formulation of a stable network structure. Meanwhile, an efficient gateway selection algorithm and management mechanism is required as well. On the other hand, the stability control of the hierarchical UAV network guarantees the efficient collaboration of the drones. In this article, we commence with surveying the FANET structure and its protocol architecture. Then, a variety of distributed gateway selection algorithms and cloudbased stability control mechanisms are addressed, complemented by a range of open challenges.Index Terms-Multi-UAV network system of small and mini drones, FANET network structure, distributed gateway selection algorithms, cloud-based stability control for collaboration and cooperation.

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Section: Cloud-based Stability Control For Hierarchical Uav Networkmentioning

confidence: 99%

Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones

Wang

Jiang²,

Han

et al. 2017

IEEE Veh. Technol. Mag.

407

185

View full text Add to dashboard Cite

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“…An approach was used to form coalition that was based on cooperative game theory in which distributed-agents were evaluated for smart grids [11]. Misra et al discussed the necessity of bandwidth redistribution and used auction based mechanism to maximize the utility function so that revenue generated for each gateway is maximum [12].…”

Section: Related Workmentioning

confidence: 99%

“…SRNs and game theory have been used for modeling various real world problems efficiently [7,8,9,10,11,12]. For proper utilization of resources at cloud level and to handle large number of requests from the users, an extra care is taken for Virtual Machine (VM) scheduling also, i.e., an efficient VM Scheduling algorithm is required which can efficiently handle the available resources while serving the requests from the users.…”

Section: Introductionmentioning

confidence: 99%

Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment

Kumar

Kaur

Jindal

et al. 2015

Digital Communications and Networks

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Providing Healthcare Services On-the-Fly Using Multi-player Cooperation Game Theory in Internet of Vehicles (IoV) Environment, Digital Communications and Networks, http://dx. AbstractInternet of Vehicles (IoV) is a leading technology of the present era. It has gained huge attention with respect to its implementation in wide variety of domains ranging from traffic safety to infotainment applications. However, IoV can also be extended to healthcare domain, where the patients can be provided healthcare services on-the-fly. We extend this novel concept in this paper and refer it as "Healthcare services on-the-fly". The concept of game theory has been used among the vehicles that seek to access the healthcare services while traveling. The vehicles act as players in the game and tend to form and split coalitions to access these services. A learning automata (LA) is also coupled with the proposed game theoretical strategy. LA helps the players to interact with the environment and take appropriate actions based on reward and penalty. Apart from this, Virtual Machine (VM) scheduling algorithm for efficient utilization of resources at cloud level has also been formulated. A stochastic reward net (SRN)-based model is used to represent the coalition formation and splitting with respect to availability of these resources. The performance of the proposed scheme is evaluated using various performance evaluation metrics. The results obtained proves the effectiveness of the proposed scheme in comparison to the best, first and random fit schemes.

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“…Specifically, this new computing paradigm integrates the cloud computing into the mobile environment and overcomes obstacles related to performance (e.g., battery life, storage, and bandwidth), environment (e.g., heterogeneity, scalability, and availability), and security (e.g., reliability and privacy) issues. In particular, the approaches in [4] and [5] deal with bandwidth issues. They propose solutions to share the limited bandwidth among mobile users.…”

Section: Introductionmentioning

confidence: 99%

A telemedicine support for improving medical emergency management

Canonico¹,

Montani²,

Striani³

2017

ICST Transactions on Ambient Systems

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In this paper, we introduce a telemedicine architecture for supporting emergency patient stabilization and patient transportation to a fully equipped health care center. In particular, we focus on the description of a set of mobile apps, designed for supporting data recording and transmission during patient transportation by ambulance. Some of the apps are interfaced to the monitoring devices in the ambulance, and automatically send all the recorded data to a server at the destination center. One additional app enables the travelling personnel to input and transmit further significant patient data, or comments. At the destination center, the specialist physician is allowed to inspect the data as soon as they are received, possibly providing immediate advice. The exploitation of the apps also allows to maintain the transportation data over time, for medico-legal purposes, or to perform a-posteriori analyses. Some first evaluation results are discussed in the paper.

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QoS-Guaranteed Bandwidth Shifting and Redistribution in Mobile Cloud Environment

Cited by 82 publications

References 33 publications

Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones

Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones

Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment

A telemedicine support for improving medical emergency management

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