Works (17)

Updated: April 10th, 2024 05:01

2024 journal article

TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 73(3), 4337–4351.

By: Z. Liu*, Y. Zhao*, S. Hosseinalipour*, Z. Gao*, L. Huang* & H. Dai n

author keywords: Vehicular cloud (VC) computing; directed acyclic graph (DAG); dynamic task scheduling; reverse auctions
Source: Web Of Science
Added: April 8, 2024

2023 journal article

RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 72(9), 12139–12153.

By: Z. Liu*, M. Liwang*, S. Hosseinalipour*, H. Dai n, Z. Gao* & L. Huang*

author keywords: Vehicular cloud computing; directed acyclic graph; task scheduling; network dynamics; volatile resources
TL;DR: This paper forms DAG task scheduling as a 0-1 integer programming problem, aiming to minimize the overall task completion time while ensuring a high execution success rate, which turns out to be NP-hard. (via Semantic Scholar)
Source: Web Of Science
Added: December 18, 2023

2022 journal article

Dynamic Interference Management for UAV-Assisted Wireless Networks

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 21(4), 2637–2653.

By: A. Rahmati n, S. Hosseinalipour*, Y. Yapici*, X. He*, I. Guvenc n, H. Dai n, A. Bhuyan*

author keywords: Interference; Trajectory; Three-dimensional displays; Wireless communication; Jamming; Resource management; Unmanned aerial vehicles; Unmanned aerial vehicle (UAV); jammer; trajectory optimization; power allocation; interference management; smart interferer; spectral graph theory; Cheeger constant
TL;DR: This work designs the 3D trajectories and power allocation for the UAVs to maximize the data flow of the network while keeping the interference on the existing communication network below a threshold, and proposes an alternating-maximization approach. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 14, 2022

2022 article

Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks

Hosseinalipour, S., Azam, S. S., Brinton, C. G., Michelusi, N., Aggarwal, V., Love, D. J., & Dai, H. (2022, February 3). IEEE-ACM TRANSACTIONS ON NETWORKING.

By: S. Hosseinalipour*, S. Azam*, C. Brinton*, N. Michelusi*, V. Aggarwal*, D. Love*, H. Dai n

author keywords: Collaborative work; Device-to-device communication; Training; Servers; Topology; Computational modeling; Convergence; Fog learning; device-to-device communications; peer-to-peer learning; cooperative learning; distributed machine learning; semi-decentralized federated learning
TL;DR: This work develops multi-stage hybrid federated learning (<monospace>MH-FL</monospace), a hybrid of intra-and inter-layer model learning that considers the network as a multi-layer cluster-based structure and derives the upper bound of convergence for MH-FL with respect to parameters of the network topology. (via Semantic Scholar)
Source: Web Of Science
Added: March 7, 2022

2021 journal article

A Two-Stage Auction Mechanism for Cloud Resource Allocation

IEEE TRANSACTIONS ON CLOUD COMPUTING, 9(3), 881–895.

By: S. Hosseinalipour n & H. Dai n

author keywords: Auction theory; cloud of clouds networks; sequential auctions; options-based sequential auctions; proxy agent; cloud resource allocation; Hamilton-Jacobi-Bellman equation; dynamic markets
TL;DR: A comprehensive framework is introduced in which the process of resource gathering and allocation is addressed via two stages, and a theoretical framework for market analysis is provided and the bidding behavior of CCN managers is described. (via Semantic Scholar)
Source: Web Of Science
Added: September 13, 2021

2021 journal article

Energy-Aware Stochastic UAV-Assisted Surveillance

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(5), 2820–2837.

By: S. Hosseinalipour n, A. Rahmati n, D. Eun n & H. Dai n

author keywords: Surveillance; Inspection; Batteries; Trajectory; Unmanned aerial vehicles; Approximation algorithms; Programming; Unmanned aerial vehicles (UAVs); surveillance; random walks; energy-aware design; Markov chains
TL;DR: A novel framework for stochastic UAV-assisted surveillance that inherently considers the battery constraints of the UAVs, proposes random moving patterns modeled via random walks, and adds another degree of randomness to the system via considering probabilistic inspections is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: June 10, 2021

2021 article

Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks

IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021).

By: Y. Su n, M. LiWang*, S. Hosseinalipour n, L. Huang* & H. Dai n

author keywords: Vehicular networks; unmanned aerial vehicles (UAVs); position planing; power control
TL;DR: This paper considers unmanned aerial vehicle (UAV)-assisted infrastructure-to-vehicle (I2V) communication employing UAVs as relays to increase the throughput between a roadside unit and a vehicular user equipment (VUE) while considering the mobility of the VUE, aiming to maximize the data rate of the system. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Source: Web Of Science
Added: December 13, 2021

2020 journal article

Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV

IEEE INTERNET OF THINGS JOURNAL, 7(1), 311–324.

By: M. LiWang*, S. Hosseinalipour n, Z. Gao*, Y. Tang*, L. Huang* & H. Dai n

author keywords: Resource management; Cloud computing; Task analysis; Servers; Computational modeling; Internet of Things; Mobile handsets; Computation-intensive graph jobs; computation offloading; subgraph isomorphism; vehicular clouds (VCs)
TL;DR: This article presents a novel framework for VCs that maps components of graph jobs to service providers via opportunistic vehicle-to-vehicle communication and proposes a novel low complexity randomized graph job allocation mechanism by considering hierarchical tree-based subgraph isomorphism extraction. (via Semantic Scholar)
Source: Web Of Science
Added: February 10, 2020

2020 article

Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks

2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM).

By: A. Rahmati n, S. Hosseinalipour n, Y. Yapici n, I. Guvenc n, H. Dai n & A. Bhuyan*

TL;DR: This work considers the uplink millimeter-wave (mmWave) transmission between a set of UAVs and a base station (BS) and proposes a solution aided by the Dinkelbach's algorithm and successive convex approximation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 26, 2021

2020 journal article

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

IEEE COMMUNICATIONS MAGAZINE, 58(12), 41–47.

By: S. Hosseinalipour*, C. Brinton*, V. Aggarwal*, H. Dai n & M. Chiang*

author keywords: Training; Network topology; Computational modeling; Wireless networks; Collaborative work; Topology; Device-to-device communication
TL;DR: Fog learning enhances federated learning along three major dimensions: network, heterogeneity, and proximity, which will intelligently distribute ML model training across the continuum of nodes from edge devices to cloud servers. (via Semantic Scholar)
Source: Web Of Science
Added: February 1, 2021

2020 journal article

Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 31(4), 749–765.

By: S. Hosseinalipour n, A. Nayak n & H. Dai n

author keywords: Resource management; Cloud computing; Power demand; Servers; Task analysis; Twitter; Distributed algorithms; Big-data; graph jobs; geo-distributed cloud networks; datacenter power consumption; job allocation; integer programming; convex optimization; online learning
TL;DR: A framework for efficient allocation of graph jobs in geo-distributed cloud networks (GDCNs), explicitly considering the power consumption of the datacenters (DCs) is developed, and a novel low-complexity (decentralized) sub-graph extraction method is provided. (via Semantic Scholar)
Source: Web Of Science
Added: February 10, 2020

2020 journal article

Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 7(3), 1710–1723.

By: S. Hosseinalipour n, J. Mao*, D. Eun n & H. Dai n

author keywords: Power system faults; Power system protection; Robustness; Stress; Load modeling; Adaptation models; Resource management; Interdependent networks; demand-supply networks; robustness; resource and load fluctuations; cascading failures
TL;DR: A generic system model for a special category of interdependent networks, demand-supply networks, in which the demand and the supply nodes are associated with heterogeneous loads and resources, which sheds a light on a unique cascading failure mechanism induced by resource/load fluctuations. (via Semantic Scholar)
Source: Web Of Science
Added: September 21, 2020

2017 journal article

Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures

IEEE TRANSACTIONS ON COMMUNICATIONS, 65(9), 3847–3862.

By: S. Chattopadhyay n, H. Dai n, D. Eun n & S. Hosseinalipour n

author keywords: Interdependent networks; optimal interlinks; targeted attack; network robustness
Source: Web Of Science
Added: August 6, 2018

2017 conference paper

Detection of infections using graph signal processing in heterogeneous networks

Globecom 2017 - 2017 ieee global communications conference.

By: S. Hosseinalipour n, J. Wang n, H. Dai n & W. Wang n

TL;DR: This paper focuses on infection detection in heterogeneous networks and model the network situation as a graph signal based on the nodes' status, which helps distinguish between random failures and epidemic scenarios. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2017 conference paper

Dynamic advertising in VANETs using repeated auctions

Globecom 2017 - 2017 ieee global communications conference.

By: A. Nayak n, S. Hosseinalipour n & H. Dai n

TL;DR: This paper proposes an algorithm which is a combination of adaptive linear prediction and nonparametric Bayesian belief update, enabling smart bidding and improving the utilities of the competing advertising companies significantly in the long- run. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2017 conference paper

Options-based sequential auctions for dnamic cloud resource allocation

2017 ieee international conference on communications (icc).

By: S. Hosseinalipour n & H. Dai n

TL;DR: This paper proposes an options-based sequential auction that not only provides a good match with the dynamic structure of the problem, but also solves the entrance time problem and possesses the truthfulness property. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2017 conference paper

Real-time strategy selection for mobile advertising in VANETs

Globecom 2017 - 2017 ieee global communications conference.

By: S. Hosseinalipour n, A. Nayak n & H. Dai n

TL;DR: The regret-based minimization method is adopted to tackle the problem of mobile advertising in VANETs and a good potential of the proposed algorithm is revealed through simulations. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

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