145 citations · 543 across the 25 of their papers we have counts for
27 papers
Dispatching Point Selection for a Drone-Based Delivery System Operating in a Mixed Euclidean-Manhattan Grid
Francesco Betti Sorbelli, Federico Corò, Sajal K. Das +2
In this paper, we present a drone-based delivery system that assumes to deal with two different mixed-areas, i.e., rural and urban. In these mixed-areas, called EM-grids, the dista…
Securing Federated Learning against Overwhelming Collusive Attackers
Priyesh Ranjan, Ashish Gupta, Federico Corò +1
In the era of a data-driven society with the ubiquity of Internet of Things (IoT) devices storing large amounts of data localized at different places, distributed learning has gain…
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning
Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta +1
Smart sensing provides an easier and convenient data-driven mechanism for monitoring and control in the built environment. Data generated in the built environment are privacy sensi…
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Ashish Gupta, Tie Luo, Mao V. Ngo +1
Federated learning offers a framework of training a machine learning model in a distributed fashion while preserving privacy of the participants. As the server cannot govern the cl…
Accurate and Efficient Modeling of 802.15.4 Unslotted CSMA/CA through Event Chains Computation
Domenico De Guglielmo, Francesco Restuccia, Giuseppe Anastasi +2
Many analytical models have been proposed for evaluating the performance of event-driven 802.15.4 Wireless Sensor Networks (WSNs), in Non-Beacon Enabled (NBE) mode. However, existi…
The Internet of People (IoP): A New Wave in Pervasive Mobile Computing
Marco Conti, Andrea Passarella, Sajal K. Das
Cyber-Physical convergence, the fast expansion of the Internet at its edge, and tighter interactions between human users and their personal mobile devices push towards an Internet…
Service Provisioning in Mobile Environments through Opportunistic Computing
Davide Mascitti, Marco Conti, Andrea Passarella +2
Opportunistic computing is a paradigm for completely self-organised pervasive networks. Instead of relying only on fixed infrastructures as the cloud, users' devices act as service…
Maximizing Social Welfare in Selfish Multi-Modal Routing using Strategic Information Design for Quantal Response Travelers
Sainath Sanga, Venkata Sriram Siddhardh Nadendla, Sajal K. Das
Traditional selfish routing literature quantifies inefficiency in transportation systems with single-attribute costs using price-of-anarchy (PoA), and provides various technical ap…
On the Robot Assisted Movement in Wireless Mobile Sensor Networks
Sajal K. Das, Rafał Kapelko
This paper deals with random sensors initially randomly deployed on the line according to general random process and on the plane according to two independent general random proces…
Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic
Sahraoui Dhelim, Liming Luke Chen, Huansheng Ning +6
Online social media provides a channel for monitoring people's social behaviors and their mental distress. Due to the restrictions imposed by COVID-19 people are increasingly using…
Speeding up Routing Schedules on Aisle-Graphs with Single Access
Francesco Betti Sorbelli, Stefano Carpin, Federico Coro +3
In this paper, we study the Orienteering Aisle-graphs Single-access Problem (OASP), a variant of the orienteering problem for a robot moving in a so-called single-access aisle-grap…
Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions
Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli +1
Unmanned Aerial Vehicles (UAVs) or drones are increasingly used for urban applications like traffic monitoring and construction surveys. Autonomous navigation allows drones to visi…
Energy-Constrained Delivery of Goods with Drones Under Varying Wind Conditions
Francesco Betti Sorbelli, Federico Corò, Sajal K. Das +1
In this paper, we study the feasibility of sending drones to deliver goods from a depot to a customer by solving what we call the Mission-Feasibility Problem (MFP). Due to payload…
Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation
Francesco Betti Sorbelli, Cristina M. Pinotti, Simone Silvestri +1
Localizing ground devices (GDs) is an important requirement for a wide variety of applications, such as infrastructure monitoring, precision agriculture, search and rescue operatio…
PIS: A Multi-dimensional Routing Protocol for Socially-aware Networking
Feng Xia, Li Liu, Behrouz Jedari +1
Socially-aware networking is an emerging paradigm for intermittently connected networks consisting of mobile users with social relationships and characteristics. In this setting, h…
A Novel Methodology for designing Policies in Mobile Crowdsensing Systems
Alessandro Di Stefano, Marialisa Scatà, Barbara Attanasio +3
Mobile crowdsensing is a people-centric sensing system based on users' contributions and incentive mechanisms aim at stimulating them. In our work, we have rethought the design of…
On Maximizing Task Throughput in IoT-enabled 5G Networks under Latency and Bandwidth Constraints
Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla +1
Fog computing in 5G networks has played a significant role in increasing the number of users in a given network. However, Internet-of-Things (IoT) has driven system designers towar…
Blockchain for the Internet of Things: Present and Future
Francesco Restuccia, Salvatore D'Oro andSalil S. Kanhere, Tommaso Melodia +1
One of the key challenges to the IoT's success is how to secure and anonymize billions of IoT transactions and devices per day, an issue that still lingers despite significant rese…
PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data
Rajesh P Barnwal, Nirnay Ghosh, Soumya K Ghosh +1
Emergence of smartphone and the participatory sensing (PS) paradigm have paved the way for a new variant of pervasive computing. In PS, human user performs sensing tasks and genera…
IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility
Francesco Restuccia, Pierluca Ferraro, Simone Silvestri +2
Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible. In a mobile crowdsensing system,…
FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems
Francesco Restuccia, Pierluca Ferraro, Timothy S. Sanders +3
Mobile crowdsensing allows data collection at a scale and pace that was once impossible. One of the biggest challenges in mobile crowdsensing is that participants may exhibit malic…
CSWA: Aggregation-Free Spatial-Temporal Community Sensing
Jiang Bian, Haoyi Xiong, Yanjie Fu +1
In this paper, we present a novel community sensing paradigm -- {C}ommunity {S}ensing {W}ithout {A}ggregation}. CSWA is designed to obtain the environment information (e.g., air po…
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
Francesco Restuccia, Nirnay Ghosh, Shameek Bhattacharjee +2
Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost…
Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems
Tony T. Luo, Salil S. Kanhere, Jianwei Huang +2
Proper incentive mechanisms are critical for mobile crowdsensing systems to motivate people to actively and persistently participate. This article provides an exposition of design…