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most citedDistributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT

169 citations · 484 across the 36 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.NI2018★ 169 cited

Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT

Tie Luo, Sai G. Nagarajan

Wireless sensor networks (WSN) are fundamental to the Internet of Things (IoT) by bridging the gap between the physical and the cyber worlds. Anomaly detection is a critical task i…

cs.GT2018★ 47 cited

An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets

Qing Liu, Tie Luo, Ruiming Tang +1

In a crowdsourcing market, a requester is looking to form a team of workers to perform a complex task that requires a variety of skills. Candidate workers advertise their certified…

cs.MA2018★ 42 cited

Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing

Tie Luo, Salil S. Kanhere, Sajal K. Das +1

Incentives are key to the success of crowdsourcing which heavily depends on the level of user participation. This paper designs an incentive mechanism to motivate a heterogeneous c…

cs.NI2018★ 26 cited

WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-based Incentive

Fang-Jing Wu, Tie Luo

As mobile crowdsensing techniques are steering many smart-city applications, an incentive scheme that motivates the crowd to actively participate becomes a key to the success of su…

cs.NI2018★ 6 cited

The Privacy Exposure Problem in Mobile Location-based Services

Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen +1

Mobile location-based services (LBSs) empowered by mobile crowdsourcing provide users with context-aware intelligent services based on user locations. As smartphones are capable of…