36 citations · 114 across the 13 of their papers we have counts for
13 papers
Navigating Quantum Missteps in Agent-Based Modeling: A Schelling Model Case Study
C. Nico Barati, Arie Croitoru, Ross Gore +5
Quantum computing promises transformative advances, but remains constrained by recurring misconceptions and methodological pitfalls. This paper demonstrates a fundamental incompati…
Sustainable Task Offloading in Secure UAV-assisted Smart Farm Networks: A Multi-Agent DRL with Action Mask Approach
Tingnan Bao, Aisha Syed, William Sean Kennedy +1
The integration of unmanned aerial vehicles (UAVs) with mobile edge computing (MEC) and Internet of Things (IoT) technology in smart farms is pivotal for efficient resource managem…
Heterogeneous GNN-RL Based Task Offloading for UAV-aided Smart Agriculture
Turgay Pamuklu, Aisha Syed, W. Sean Kennedy +1
Having unmanned aerial vehicles (UAVs) with edge computing capability hover over smart farmlands supports Internet of Things (IoT) devices with low processing capacity and power to…
Fair Allocation in Crowd-Sourced Systems
Mishal Assif P K, William Kennedy, Iraj Saniee
In this paper, we address the problem of fair sharing of the total value of a crowd-sourced network system between major participants (founders) and minor participants (crowd) usin…
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture
Turgay Pamuklu, Anne Catherine Nguyen, Aisha Syed +2
Aerial base stations (ABSs) allow smart farms to offload processing responsibility of complex tasks from internet of things (IoT) devices to ABSs. IoT devices have limited energy a…
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks
Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed +2
The fifth and sixth generations of wireless communication networks are enabling tools such as internet of things devices, unmanned aerial vehicles (UAVs), and artificial intelligen…
Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks
Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed +2
Unmanned aerial vehicles (UAVs) with mounted base stations are a promising technology for monitoring smart farms. They can provide communication and computation services to extensi…
A New Family of Near-metrics for Universal Similarity
Chu Wang, Iraj Saniee, William S. Kennedy +1
We propose a family of near-metrics based on local graph diffusion to capture similarity for a wide class of data sets. These quasi-metametrics, as their names suggest, dispense wi…
Fast approximation algorithms for -centres in large -hyperbolic graphs
Katherine Edwards, W. Sean Kennedy, Iraj Saniee
We provide a quasilinear time algorithm for the -center problem with an additive error less than or equal to 3 times the input graph's hyperbolic constant. Specifically, for the…
Improving Robustness of Next-Hop Routing
Glencora Borradaile, W. Sean Kennedy, Gordon Wilfong +1
A weakness of next-hop routing is that following a link or router failure there may be no routes between some source-destination pairs, or packets may get stuck in a routing loop a…
A Geometric Distance Oracle for Large Real-World Graphs
Deepak Ajwani, W. Sean Kennedy, Alessandra Sala +1
Many graph processing algorithms require determination of shortest-path distances between arbitrary numbers of node pairs. Since computation of exact distances between all node-pai…
On the Hyperbolicity of Large-Scale Networks
W. Sean Kennedy, Onuttom Narayan, Iraj Saniee
Through detailed analysis of scores of publicly available data sets corresponding to a wide range of large-scale networks, from communication and road networks to various forms of…
Finding a smallest odd hole in a claw-free graph using global structure
W. Sean Kennedy, Andrew D. King
A lemma of Fouquet implies that a claw-free graph contains an induced , contains no odd hole, or is quasi-line. In this paper we use this result to give an improved shortest-o…