國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mobile crowd sensingincentive mechan...

Hou, Fen.

Mobile crowd sensingincentive mechanism design /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mobile crowd sensingby Fen Hou, Yingying Pei, Jingyi Sun.
其他題名:	incentive mechanism design /
作者:	Hou, Fen.
其他作者:	Pei, Yingying.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	x, 52 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mobile computing.
電子資源:	https://doi.org/10.1007/978-3-030-01024-9
ISBN:	9783030010249$q(electronic bk.)

Mobile crowd sensingincentive mechanism design /
Hou, Fen.

Mobile crowd sensingincentive mechanism design /[electronic resource] :by Fen Hou, Yingying Pei, Jingyi Sun. - Cham :Springer International Publishing :2019. - x, 52 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

1 Introduction Mobile Crowd Sensing -- 2 Auction Theory and Incentive Mechanism Design -- 3 Reputation-aware Incentive Mechanism Design -- 4 Social-aware Incentive Mechanism Design -- 5 Conclusions.

This SpringerBrief investigates and reviews the development and various applications of mobile crowd sensing (MCS) With the miniaturization of sensors and the popularity of smart mobile devices, MCS becomes a promising solution to efficiently collect different types of information, such as traffic conditions, air quality, temperature and more, which is covered in this brief. The features, novelty, and applications of MCS are elaborated in detail in this brief. In addition, the basic knowledge about auction theory and incentive mechanism design is introduced. Incentive mechanism design plays a key role in the success of MCS. With an efficient incentive mechanism, it is possible to attract enough mobile users to participate in a MCS system, thus enough high quality sensing data can be collected. Two types of incentive mechanisms with different system models are introduced in this brief. One is the reputation-aware incentive mechanism, and another is the social-aware incentive mechanism. This SpringerBrief covers the significance and the impacts of both reputation and social relationship of smartphone users (SUs) in MCS and presents extensive simulation results to demonstrate the good performance of the proposed incentive mechanisms compared with some existing counterparts. The target audience for this SpringerBrief is researchers and engineers in the area of wireless communication and networking, especially those who are interested in the mobile crowd sensing or incentive mechanism design. Meanwhile, it is also intended as a reference guide for advanced level students in the area of wireless communications and computer networks.

ISBN: 9783030010249$q(electronic bk.)

Standard No.: 10.1007/978-3-030-01024-9doiSubjects--Topical Terms:

185560
Mobile computing.

LC Class. No.: QA76.59 / .H684 2019

Dewey Class. No.: 004.167

Mobile crowd sensingincentive mechanism design /
LDR:02906nmm a2200337 a 4500 001 553223
003 DE-He213
005 20190530152851.0
006 m d
007 cr nn 008maaau
008 191111s2019 gw s 0 eng d
020 $a 9783030010249$q(electronic bk.)
020 $a 9783030010232$q(paper)
024 7 $a 10.1007/978-3-030-01024-9 $2 doi
035 $a 978-3-030-01024-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.59 $b .H684 2019
072 7 $a TJKW $2 bicssc
072 7 $a TEC061000 $2 bisacsh
072 7 $a TJKW $2 thema
082 0 4 $a 004.167 $2 23
090 $a QA76.59 $b .H835 2019
100 1 $a Hou, Fen. $3 834396
245 1 0 $a Mobile crowd sensing $h [electronic resource] : $b incentive mechanism design / $c by Fen Hou, Yingying Pei, Jingyi Sun.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 52 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a 1 Introduction Mobile Crowd Sensing -- 2 Auction Theory and Incentive Mechanism Design -- 3 Reputation-aware Incentive Mechanism Design -- 4 Social-aware Incentive Mechanism Design -- 5 Conclusions.
520 $a This SpringerBrief investigates and reviews the development and various applications of mobile crowd sensing (MCS) With the miniaturization of sensors and the popularity of smart mobile devices, MCS becomes a promising solution to efficiently collect different types of information, such as traffic conditions, air quality, temperature and more, which is covered in this brief. The features, novelty, and applications of MCS are elaborated in detail in this brief. In addition, the basic knowledge about auction theory and incentive mechanism design is introduced. Incentive mechanism design plays a key role in the success of MCS. With an efficient incentive mechanism, it is possible to attract enough mobile users to participate in a MCS system, thus enough high quality sensing data can be collected. Two types of incentive mechanisms with different system models are introduced in this brief. One is the reputation-aware incentive mechanism, and another is the social-aware incentive mechanism. This SpringerBrief covers the significance and the impacts of both reputation and social relationship of smartphone users (SUs) in MCS and presents extensive simulation results to demonstrate the good performance of the proposed incentive mechanisms compared with some existing counterparts. The target audience for this SpringerBrief is researchers and engineers in the area of wireless communication and networking, especially those who are interested in the mobile crowd sensing or incentive mechanism design. Meanwhile, it is also intended as a reference guide for advanced level students in the area of wireless communications and computer networks.
650 0 $a Mobile computing. $3 185560
650 0 $a Intelligent sensors. $3 721853
650 1 4 $a Wireless and Mobile Communication. $3 820685
650 2 4 $a Communications Engineering, Networks. $3 273745
700 1 $a Pei, Yingying. $3 834397
700 1 $a Sun, Jingyi. $3 834398
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 557682
856 4 0 $u https://doi.org/10.1007/978-3-030-01024-9
950 $a Engineering (Springer-11647)