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Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks | IEEE Conference Publication | IEEE Xplore

Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks


Abstract:

This paper considers a mobile data collecting problem in a wireless sensor network with private residual sensor networks for the scenario in which the owners of residual ...Show More

Abstract:

This paper considers a mobile data collecting problem in a wireless sensor network with private residual sensor networks for the scenario in which the owners of residual sensor networks may perform dishonest behavior. The interaction between the wireless sensor network operator and the owners of residual sensor networks is modeled by a Stackelberg game which has a unique Stackelberg equilibrium. The influence of the Stackelberg equilibrium caused by the dishonest residual sensor networks owner are analyzed. An algorithm and a theoretical analysis are provided for the corresponding strategies of the operator and owners. Simulations are conducted to illustrate the difference of network performance compared with the game without dishonest residual owners.
Date of Conference: 09-13 December 2018
Date Added to IEEE Xplore: 21 February 2019
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Conference Location: Abu Dhabi, United Arab Emirates

I. Introduction and Related Work

With the rapid development of artificial intelligence technologies, data becomes one of the most significant resources for large companies, governments, and even individuals to make decisions. Sensors around us are widely used for constantly collecting data, including temperature, humidity, solar irradiance, wind speed, motions, stretch, and toxins, forming various types of sensor networks in different areas.

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References

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