Impact of Users' Mobility on the Quality of Edge Sensing Systems
Author:
Affiliation:
1. Qatar University,Department of Electrical Engineering,Doha,Qatar
2. Queen's University,Department of Electrical and Computer Engineering,Kingston,ON,Canada
3. Queen's University,School of Computing,Kingston,ON,Canada
Funder
Qatar University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000854.pdf?arnumber=10000854
Reference17 articles.
1. A location-based incentive mechanism for participatory sensing systems with budget constraints
2. Understanding Human Mobility for CrowdSensing Strategies with the ParticipAct Data Set
3. The Spatial Node Distribution of the Random Waypoint Mobility Model;bettstetter;Mobile Ad-Hoc Netzwerke,2002
4. A Budget Constraint Incentive Mechanism in Spatial-Temporal Mobile Crowdsensing
5. iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing
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1. Task Assignment in Extreme Edge Sensing: Balancing Response Time and Incentives;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Novel Distribution-Aware and Learning-Based Dynamic Scheme for Efficient User Incentivization in Edge Sensing Systems;IEEE Open Journal of the Communications Society;2024
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