Optimal Data Collection for Mobile Crowdsensing Over Integrated Cellular and Opportunistic Networks
IEEE Access, 2020 One of the main challenges that mobile crowdsensing systems must solve is reducing data collection costs while still holding high data delivery probability.
Doaa Mohsin Majeed, Lin Zhang, Ke Shi
doaj +1 more source
Online change detection for energy-efficient mobilec crowdsensing [PDF]
, 2014 Mobile crowdsensing is power hungry since it requires continuously and simultaneously sensing, processing and uploading fused data from various sensor types including motion sensors and environment sensors.
A. Beach +8 more
core +1 more source
User Recruitment for Optimizing Requester’s Profit in Self-Organized Mobile Crowdsensing
IEEE Access, 2018 Mobile crowdsensing is a novel sensing scheme, where some mobile users utilize the equipped mobile phones to jointly participate in a sensing activity.
En Wang, Yongjian Yang, Kaihao Lou
doaj +1 more source
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
, 2018 Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsensing platform if they can receive satisfactory reward.
Luo, Jun +4 more
core +1 more source
Cheating-Resilient Incentive Scheme for Mobile Crowdsensing Systems
, 2017 Mobile Crowdsensing is a promising paradigm for ubiquitous sensing, which explores the tremendous data collected by mobile smart devices with prominent spatial-temporal coverage.
Li, Xin +5 more
core +1 more source
A people-oriented paradigm for smart cities [PDF]
, 2017 Most works in the literature agree on considering the Internet of Things (IoT) as the base technology to collect information related to smart cities.
A Sheth +12 more
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Crowdsensed Performance Benchmarking of Mobile Networks [PDF]
IEEE Access, 2019 In recent years, the boom of mobile-network-measurement apps has stimulated the growth of publicly available datasets, which contain up to billions of measurements conducted by anonymous end-users. Although the crowdsensing has proven its value in different areas, in the context of performance monitoring in cellular mobile networks, convincing ...
Vaclav Raida +3 more
openaire +2 more sources
A short review of constructing noise map using crowdsensing technology [PDF]
, 2017 The advent of crowdsensing technology has provided a promising possibility for monitoring noise pollution in large-scale areas. Constructing noise map by using mobile smart phones in a cost-effective manner is being widely used in the city and industrial ...
B Guo +14 more
core +1 more source
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing
, 2018 Sparse Mobile CrowdSensing (MCS) is a novel MCS paradigm where data inference is incorporated into the MCS process for reducing sensing costs while its quality is guaranteed.
Liu, Wenbin +5 more
core +1 more source
Dynamic Deployment of Sensing Experiments in the Wild Using Smartphones [PDF]
, 2013 Part 1: Full Research PapersInternational audienceWhile scientific communities extensively exploit simulations to validate their theories, the relevance of their results strongly depends on the realism of the dataset they use as an input.
Haderer, Nicolas +2 more
core +6 more sources