A Carrier-Based Sensor Deployment Algorithm for Perception Layer in the IoT Architecture
學年 108
學期 2
出版（發表）日期 2020-04-23
作品名稱 A Carrier-Based Sensor Deployment Algorithm for Perception Layer in the IoT Architecture
作品名稱（其他語言）
著者 Chien-Fu Cheng; You-Cyun Chen; Jerry Chun-Wei Lin
單位
出版者
著錄名稱、卷期、頁數 IEEE Sensors Journal 20(17), p.10295-10305
摘要 The Internet of Things (IoT) has received significant attention from scholars, governments and various industries in recent years. This is because IoT enables physical devices (objects) in the real world to be connected to the Internet. The environmental data gathered by these objects can contribute to the development of more valuable applications. One of the most important issues in IoT research is how to deploy sensors in the target field effectively. Through the effective deployment of sensors, IoT-based applications can gather sufficient information to support decision making. In this paper, we propose a new carrier-based sensor deployment algorithm to solve the sensor deployment problem in the perception layer of the IoT. The proposed algorithm will first match redundant sensors with uncovered areas and then connect the matching results to form a traveling path. Finally, the algorithm will adjust the traveling path to further shorten its length. Our experimental results show that the proposed algorithm delivers good results in terms of the length of the traveling path under varied parameter settings.
關鍵字 Internet of things;carrier-based sensor deployment;static sensor;mobile robot
語言 en_US
ISSN 1558-1748
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Cheng Chien-Fu
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/119173 )