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Mr. Mincheol Paik
Korea University in korea

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Research Keywords & Expertise

0 Distributed Algorithms
0 Game Theory
0 Location Management
0 Location Awareness in 5G and beyond
0 5G network

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Journal article
Published: 21 December 2020 in Sensors
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Frequent location updates of individual Internet of Things (IoT) devices can cause several problems (e.g., signaling overhead in networks and energy depletion of IoT devices) in massive machine type communication (mMTC) systems. To alleviate these problems, we design a distributed group location update algorithm (DGLU) in which geographically proximate IoT devices determine whether to conduct the location update in a distributed manner. To maximize the accuracy of the locations of IoT devices while maintaining a sufficiently small energy outage probability, we formulate a constrained stochastic game model. We then introduce a best response dynamics-based algorithm to obtain a multi-policy constrained Nash equilibrium. From the evaluation results, it is demonstrated that DGLU can achieve an accuracy of location information that is comparable with that of the individual location update scheme, with a sufficiently small energy outage probability.

ACS Style

Mincheol Paik; Haneul Ko. Distributed Group Location Update Algorithm for Massive Machine Type Communication. Sensors 2020, 20, 7336 .

AMA Style

Mincheol Paik, Haneul Ko. Distributed Group Location Update Algorithm for Massive Machine Type Communication. Sensors. 2020; 20 (24):7336.

Chicago/Turabian Style

Mincheol Paik; Haneul Ko. 2020. "Distributed Group Location Update Algorithm for Massive Machine Type Communication." Sensors 20, no. 24: 7336.