Multi-task allocation under time constraints in mobile crowdsensing
X Li, X Zhang - IEEE Transactions on Mobile Computing, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a popular paradigm to collect sensed data for numerous
sensing applications. With the increment of tasks and workers in MCS, it has become …
sensing applications. With the increment of tasks and workers in MCS, it has become …
Toward optimal participant decisions with voting-based incentive model for crowd sensing
With the rapid development of crowd sensing in sensing applications, excellent incentive
mechanisms are playing an increasingly important role. However, most existing solutions do …
mechanisms are playing an increasingly important role. However, most existing solutions do …
Quality inference based task assignment in mobile crowdsensing
With the increase of mobile devices, Mobile Crowdsensing (MCS) has become an efficient
way to ubiquitously sense and collect environment data. Comparing to traditional sensor …
way to ubiquitously sense and collect environment data. Comparing to traditional sensor …
User satisfaction aware maximum utility task assignment in mobile crowdsensing
In mobile crowdsensing systems (MCS) efficient task assignment is the key problem that
defines the performance of the system. The current state-of-the-art solutions consider the …
defines the performance of the system. The current state-of-the-art solutions consider the …
A task assignment method for sweep coverage optimization based on crowdsensing
One of the keys for the success of sweep coverage is to organize the participants to patrol
effectively in large-scale target areas in order to satisfy the quality requirements of the sweep …
effectively in large-scale target areas in order to satisfy the quality requirements of the sweep …
Differentially private double auction with reliability-aware in mobile crowd sensing
With the unprecedented proliferation of mobile devices, Mobile Crowd Sensing (MCS)
emerges as a promising computing paradigm which utilizes sensor-embedded smart …
emerges as a promising computing paradigm which utilizes sensor-embedded smart …
Optimal mobile crowdsensing incentive under sensing inaccuracy
Due to the pervasive adoption of sensor-embedded mobile devices yet increasing demand
on data and computing resources, mobile crowdsensing is a promising paradigm with rapid …
on data and computing resources, mobile crowdsensing is a promising paradigm with rapid …
Uncovering value of correlated data: Trading data based on iterative combinatorial auction
In the era of big data, data is an extremely important and valuable asset. Data trading is
significantly essential to unlocking the power of AI/ML and gaining competitive advantages …
significantly essential to unlocking the power of AI/ML and gaining competitive advantages …
Truthful double auction based incentive mechanism for participatory sensing systems
The sensors available in the smartphones are useful to explore a diverse range of city
dynamics (eg noise pollution, road condition, traffic condition, etc.). The potential of the …
dynamics (eg noise pollution, road condition, traffic condition, etc.). The potential of the …
Optimization based multi-objective framework in mobile social networks for crowd sensing
V Sasireka, S Ramachandran - Wireless Personal Communications, 2022 - Springer
Mobile crowd sensing is an appealing model, wherein mass users utilize smart devices to
perform tasks in mobile social networks. Most conventional method selects subset of …
perform tasks in mobile social networks. Most conventional method selects subset of …