Crowd-Based Mobile Sensor Cloud Services-Issues, Challenges, and Needs

被引：0

作者：

Gao, Jerry ^{[1
]}

Zhao, Jing ^{[1
]}

Yin, Xiaojun ^{[2
]}

Chen, Sean ^{[3
]}

Huang, Jesse ^{[3
]}

机构：

[1] San Jose State Univ, San Jose, CA 95192 USA

[2] Shihezi Univ, Shihezi, Peoples R China

[3] FutureWei, San Jose, CA USA

来源：

PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI) | 2017年

关键词：

Mobile sensor; Crowd-based; Cloud Services; Sensor cloud;

D O I：

10.1109/CSCI.2017.107

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As an important part of IoT infrastructures, sensors have become essential elements of today and future connected smart world. The fast advance of sensor and mobile sensor technologies and the increasing deployments of connected sensor networks bring a strong demand and many business opportunities in develop new mobile sensor cloud infrastructures and related services applications. Mobile sensor clouds based on crowd sensors from users is one of them. This paper focuses on this topic by discussing the trend and opportunities first. Then it presents an overview of crowd-based mobile sensors in terms of its concepts, features, process and applications. Moreover, it discusses a reference infrastructure on a crowd-based mobile sensor cloud. Finally, it discussed its issues, challenges and needs.

引用

页码：618 / 623

页数：6

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