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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Engineering applications of social welfare functionsby Francisco Munoz, Ashutosh Nayak, Seokcheon Lee.
其他題名:	generic framework of dynamic resource allocation /
作者:	Munoz, Francisco.
其他作者:	Nayak, Ashutosh.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xi, 94 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Resource allocationData processing.
電子資源:	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

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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.
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