東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Wireless Network Design and Optimiza...

Gong, Xiaowen.

Linked to FindBook

Google Book

Amazon

博客來

Wireless Network Design and Optimization: From Social Awareness to Security.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wireless Network Design and Optimization: From Social Awareness to Security./
Author:	Gong, Xiaowen.
Description:	294 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
Contained By:	Dissertation Abstracts International76-09B(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3701662
ISBN:	9781321724905

Wireless Network Design and Optimization: From Social Awareness to Security.
Gong, Xiaowen.

Wireless Network Design and Optimization: From Social Awareness to Security. - 294 p.

Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.

Thesis (Ph.D.)--Arizona State University, 2015.

A principal goal of this dissertation is to study wireless network design and optimization with the focus on two perspectives: 1) socially-aware mobile networking and computing; 2) security and privacy in wireless networking. Under this common theme, this dissertation can be broadly organized into three parts.

ISBN: 9781321724905Subjects--Topical Terms:

649834
Electrical engineering.

Wireless Network Design and Optimization: From Social Awareness to Security.
LDR:03274nmm a2200325 4500 001 2074612
005 20160930093713.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321724905
035 $a (MiAaPQ)AAI3701662
035 $a AAI3701662
040 $a MiAaPQ $c MiAaPQ
100 1 $a Gong, Xiaowen. $3 2111506
245 1 0 $a Wireless Network Design and Optimization: From Social Awareness to Security.
300 $a 294 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
500 $a Adviser: Junshan Zhang.
502 $a Thesis (Ph.D.)--Arizona State University, 2015.
520 $a A principal goal of this dissertation is to study wireless network design and optimization with the focus on two perspectives: 1) socially-aware mobile networking and computing; 2) security and privacy in wireless networking. Under this common theme, this dissertation can be broadly organized into three parts.
520 $a The first part studies socially-aware mobile networking and computing. First, it studies random access control and power control under a social group utility maximization (SGUM) framework. The socially-aware Nash equilibria (SNEs) are derived and analyzed. Then, it studies mobile crowdsensing under an incentive mechanism that exploits social trust assisted reciprocity (STAR). The efficacy of the STAR mechanism is thoroughly investigated. Next, it studies mobile users' data usage behaviors under the impact of social services and the wireless operator's pricing. Based on a two-stage Stackelberg game formulation, the user demand equilibrium (UDE) is analyzed in Stage II and the optimal pricing strategy is developed in Stage I. Last, it studies opportunistic cooperative networking under an optimal stopping framework with two-level decision-making. For both cases with or without dedicated relays, the optimal relaying strategies are derived and analyzed.
520 $a The second part studies radar sensor network coverage for physical security. First, it studies placement of bistatic radar (BR) sensor networks for barrier coverage. The optimality of line-based placement is analyzed, and the optimal placement of BRs on a line segment is characterized. Then, it studies the coverage of radar sensor networks that exploits the Doppler effect. Based on a Doppler coverage model, an efficient method is devised to characterize Doppler-covered regions and an algorithm is developed to find the minimum radar density required for Doppler coverage.
520 $a The third part studies cyber security and privacy in socially-aware networking and computing. First, it studies random access control, cooperative jamming, and spectrum access under an extended SGUM framework that incorporates negative social ties. The SNEs are derived and analyzed. Then, it studies pseudonym change for personalized location privacy under the SGUM framework. The SNEs are analyzed and an efficient algorithm is developed to find an SNE with desirable properties.
590 $a School code: 0010.
650 4 $a Electrical engineering. $3 649834
650 4 $a Computer engineering. $3 621879
650 4 $a Computer science. $3 523869
690 $a 0544
690 $a 0464
690 $a 0984
710 2 $a Arizona State University. $b Electrical Engineering. $3 1671741
773 0 $t Dissertation Abstracts International $g 76-09B(E).
790 $a 0010
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3701662