Mar 28, 2017 · To do this, first, we develop some models which are based on the birth-and-death mechanism (one of the tools in queuing theory) to determine how ...
Abstract—In recent years, various researches have been con- ducted in order to find ways to cover a target or groups of targets with priority based target ...
Jul 1, 2023 · DQN is a well-known algorithm in deep reinforcement learning that has been successfully applied to various combinatorial optimisation problems.
phone data) and queuing detection algorithms' execution. As energy consumption is crucial for mobile applications, we also evaluate it for CrowdQTE. First ...
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Queuing Algorithm for Effective Target Coverage in Mobile Crowd Sensing. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/iotj ...
In this paper, we take the research on MCS a step further by presenting a survey on existing works in the domain and propose a detailed taxonomy.
Kantarcih, Queuing algorithm for effective target coverage in mobile crowd sensing, IEEE Internet Things J. 4 (4) (2017) 1046–1055. [28] G.A. Fink, T.W. ...
Kantarcih, Queuing algorithm for effective target coverage in mobile crowd sensing, IEEE Internet Things J. 4 (4) (2017) 1046–1055. [28] G.A. Fink, T.W. ...
Incentives for Mobile Crowd Sensing: A Survey · Enhancing participant selection through caching in mobile crowd sensing · Queuing Algorithm for Effective Target ...
Abstract—Mobile Crowd Sensing (MCS) is the special case of crowdsourcing, which leverages the smartphones with various embedded sensors and user's mobility ...