UAV-enabled Human Internet of Things

被引：1

作者：

Rael, Kelly ^{[1
]}

Fragkos, Georgios ^{[1
]}

Plusquellic, Jim ^{[1
]}

Eleni Tsiropoulou, Eirini ^{[1
]}

机构：

[1] Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA

来源：

16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020) | 2020年

关键词：

Public Safety Systems; Unmanned Aerial Vehicles; Human Internet of Things; Reinforcement Learning; PROSPECT;

D O I：

10.1109/DCOSS49796.2020.00056

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an Unmanned Aerial Vehicles (UAVs) - enabled human Internet of Things (IoT) architecture is introduced to enable the rescue operations in public safety systems (PSSs). Initially, the first responders select in an autonomous manner the disaster area that they will support by considering the dynamic socio-physical changes of the surrounding environment and following a set of gradient ascent reinforcement learning algorithms. Then, the victims create coalitions among each other and the first responders at each disaster area based on the expected-maximization approach. Finally, the first responders select the UAVs that communicate with the Emergency Control Center (ECC), to which they will report the collected data from the disaster areas by adopting a set of log-linear reinforcement learning algorithms. The overall distributed UAV-enabled human Internet of Things architecture is evaluated via detailed numerical results that highlight its key operational features and the performance benefits of the proposed framework.

引用

页码：312 / 319

页数：8

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