國立高雄大學圖資館 |

Language: English

Back

Engineering applications of social welfare functionsgeneric framework of dynamic resource allocation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering applications of social welfare functionsby Francisco Munoz, Ashutosh Nayak, Seokcheon Lee.
Reminder of title:	generic framework of dynamic resource allocation /
Author:	Munoz, Francisco.
other author:	Nayak, Ashutosh.
Published:	Cham :Springer International Publishing :2023.
Description:	xi, 94 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Resource allocationData processing.
Online resource:	https://doi.org/10.1007/978-3-031-20545-3
ISBN:	9783031205453$q(electronic bk.)

Engineering applications of social welfare functionsgeneric framework of dynamic resource allocation /
Munoz, Francisco.

Engineering applications of social welfare functionsgeneric framework of dynamic resource allocation /[electronic resource] :by Francisco Munoz, Ashutosh Nayak, Seokcheon Lee. - Cham :Springer International Publishing :2023. - xi, 94 p. :ill. (some col.), digital ;24 cm. - Automation, collaboration, & e-services,v. 132193-4738 ;. - Automation, collaboration, & e-services ;v.2..

Introduction to Engineering Applications of Social Welfare -- Routing in Wireless Sensor Networks - Energy Welfare -- Ambulance Dispatching - Preparedness Welfare -- Group Decision Making in Intelligent Shared Environments - Preference Welfare -- Task Allocation in Multi-Robot Systems - Resource Welfare -- Resource Sharing in Cyber-Physical Systems - Utility Welfare -- Conclusion, Limitations, and Research Opportunities.

This book presents social welfare functions as a unified multidisciplinary framework for various resource allocation problems. By measuring the impact of local decisions on broader society, social welfare functions enable "socialized" decisions and thereby produce an emergent property that "global" balance and welfare emerge from "local" welfare-maximizing behaviors. Social welfare functions are originally used in economics to quantify income welfare, jointly considering average and inequality to arrive at better measures of welfare than average alone. Wishing the readers to find opportunities for their problems of interest, this book introduces research results of social welfare functions applied in five different engineering applications, defining welfare metrics pertaining to the characteristics of the application. The "energy welfare" in wireless sensor network measures richness of distributed sensors in energy. The "preparedness welfare" in emergency medical services quantifies the preparedness level of an entire service area by aggregating preparedness levels of individual zones. The "preference welfare" in intelligent shared environments represents the opinions of real people for groups. The "resource welfare" in multi-robot task allocation quantifies the efficiency of utilizing distributed resources across robots. The "utility welfare" in complex cyber-physical systems quantifies the impact of local resource sharing decisions on the broader task communities.

ISBN: 9783031205453$q(electronic bk.)

Standard No.: 10.1007/978-3-031-20545-3doiSubjects--Topical Terms:

954169
Resource allocation
--Data processing.

LC Class. No.: T57.77

Dewey Class. No.: 003

Engineering applications of social welfare functionsgeneric framework of dynamic resource allocation /
LDR:03066nmm a2200337 a 4500 001 645401
003 DE-He213
005 20221117171851.0
006 m d
007 cr nn 008maaau
008 231208s2023 sz s 0 eng d
020 $a 9783031205453$q(electronic bk.)
020 $a 9783031205446$q(paper)
024 7 $a 10.1007/978-3-031-20545-3 $2 doi
035 $a 978-3-031-20545-3
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a T57.77
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 003 $2 23
090 $a T57.77 $b .M967 2023
100 1 $a Munoz, Francisco. $3 954166
245 1 0 $a Engineering applications of social welfare functions $h [electronic resource] : $b generic framework of dynamic resource allocation / $c by Francisco Munoz, Ashutosh Nayak, Seokcheon Lee.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xi, 94 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Automation, collaboration, & e-services, $x 2193-4738 ; $v v. 13
505 0 $a Introduction to Engineering Applications of Social Welfare -- Routing in Wireless Sensor Networks - Energy Welfare -- Ambulance Dispatching - Preparedness Welfare -- Group Decision Making in Intelligent Shared Environments - Preference Welfare -- Task Allocation in Multi-Robot Systems - Resource Welfare -- Resource Sharing in Cyber-Physical Systems - Utility Welfare -- Conclusion, Limitations, and Research Opportunities.
520 $a This book presents social welfare functions as a unified multidisciplinary framework for various resource allocation problems. By measuring the impact of local decisions on broader society, social welfare functions enable "socialized" decisions and thereby produce an emergent property that "global" balance and welfare emerge from "local" welfare-maximizing behaviors. Social welfare functions are originally used in economics to quantify income welfare, jointly considering average and inequality to arrive at better measures of welfare than average alone. Wishing the readers to find opportunities for their problems of interest, this book introduces research results of social welfare functions applied in five different engineering applications, defining welfare metrics pertaining to the characteristics of the application. The "energy welfare" in wireless sensor network measures richness of distributed sensors in energy. The "preparedness welfare" in emergency medical services quantifies the preparedness level of an entire service area by aggregating preparedness levels of individual zones. The "preference welfare" in intelligent shared environments represents the opinions of real people for groups. The "resource welfare" in multi-robot task allocation quantifies the efficiency of utilizing distributed resources across robots. The "utility welfare" in complex cyber-physical systems quantifies the impact of local resource sharing decisions on the broader task communities.
650 0 $a Resource allocation $x Data processing. $3 954169
650 0 $a Cooperating objects (Computer systems) $3 675607
650 0 $a Artificial intelligence $x Social aspects. $3 292208
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Microeconomics. $3 182798
650 2 4 $a Control, Robotics, Automation. $3 914981
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Nayak, Ashutosh. $3 954167
700 1 $a Lee, Seokcheon. $3 954168
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Automation, collaboration, & e-services ; $v v.2. $3 726654
856 4 0 $u https://doi.org/10.1007/978-3-031-20545-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)