COMSNETS
2.3K papers
Matching Demand with Supply in the Smart Grid using Agent-Based Multiunit Auction
Recent work has suggested reducing electricity generation cost by cutting the peak to average ratio (PAR) without reducing the total amount of the loads. However, most of these proposals rely on...
Community-based Immunization Strategies for Epidemic Control
Understanding the epidemic dynamics, and finding out efficient techniques to control it, is a challenging issue. A lot of research has been done on targeted immunization strategies, exploiting...
DEFER: Distributed Edge Inference for Deep Neural Networks
Modern machine learning tools such as deep neural networks (DNNs) are playing a revolutionary role in many fields such as natural language processing, computer vision, and the internet of things....
Multi-Model Federated Learning
Federated learning is a form of distributed learning with the key challenge being the non-identically distributed nature of the data in the participating clients. In this paper, we extend...
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
This paper proposes a multi-agent reinforcement learning based medium access framework for wireless networks. The access problem is formulated as a Markov Decision Process (MDP), and solved using...
Detection of Fake Users in SMPs Using NLP and Graph Embeddings
Social Media Platforms (SMPs) like Facebook, Twitter, Instagram etc. have large user base all around the world that generates huge amount of data every second. This includes a lot of posts by fake...
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
Artificial Intelligence has now taken centre stage in the smartphone industry owing to the need of bringing all processing close to the user and addressing privacy concerns. Convolution Neural...
CORNET 2.0: A Co-Simulation Middleware for Robot Networks
We present a networked co-simulation framework for multi-robot systems applications. We require a simulation framework that captures both physical interactions and communications aspects to...
A Non-intrusive Failure Prediction Mechanism for Deployed Optical Networks
Failures in optical network backbone can lead to major disruption of internet data traffic. Hence, minimizing such failures is of paramount importance for the network operators. Even better, if...
Rate Optimal design of a Wireless Backhaul Network using TV White Space
The penetration of wireless broadband services in remote areas has primarily been limited due to the lack of economic incentives that service providers encounter in sparsely populated areas....
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes
Federated Learning deviates from the norm of "send data to model" to "send model to data". When used in an edge ecosystem, numerous heterogeneous edge devices collecting data through different...
pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology
Conventional federated learning frameworks suffer from several challenges including performance bottlenecks at the central aggregation server, data bias, poor model convergence, and exposure to...
A Cost Effective Reliability Aware Scheduler for Task Graphs in Multi-Cloud System
Many scientific workflows can be represented by a Directed Acyclic Graph (DAG) where each node represents a task, and there will be a directed edge between two tasks if and only if there is a...
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard
As AI systems increasingly influence critical sectors like telecommunications, finance, healthcare, and public services, ensuring fairness in decision-making is essential to prevent biased or...
Context-Aware Design of Cyber-Physical Human Systems (CPHS)
Recently, it has been widely accepted by the research community that interactions between humans and cyber-physical infrastructures have played a significant role in determining the performance of...
Optimal Lockdown to Manage an Epidemic
We formulate an optimal control problem to determine the lockdown policy to curb an epidemic where other control measures are not available yet. We present a unified framework to model the...
SACRIFICE: A Secure Road Condition Monitoring Scheme over Fog-based VANETs
With the rapid growth of Vehicular Ad-Hoc Networks (VANETs), huge amounts of road condition data are constantly being generated and sent to the cloud for processing. However, this introduces a...
Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices
With the increasing reliance of users on smart devices, bringing essential computation at the edge has become a crucial requirement for any type of business. Many such computations utilize...