A stochastic multi-agent system for Internet of Things-enabled waste management in smart cities

被引：18

作者：

Anagnostopoulos, Theodoros ^{[1
,2
]}

Zaslavsky, Arkady ^{[2
,3
]}

Sosunova, Inna ^{[2
]}

Fedchenkov, Petr ^{[2
]}

Medvedev, Alexey ^{[2
]}

Ntalianis, Klimis ^{[1
]}

Skourlas, Christos ^{[4
]}

Rybin, Andrei ^{[2
]}

Khoruznikov, Sergei ^{[2
]}

机构：

[1] Univ West Attica, Dept Business Adm, Athens, Greece

[2] ITMO Univ, Dept Infocommun Technol, St Petersburg, Russia

[3] CSIRO Computat Informat, Canberra, ACT, Australia

[4] Univ West Attica, Dept Informat, Athens, Greece

来源：

WASTE MANAGEMENT & RESEARCH | 2018年 / 36卷 / 11期

基金：

欧盟地平线“2020”;

关键词：

Smart cities; Internet of Things; waste management; stochastic analyses; multi-agent system; COLLECTION;

D O I：

10.1177/0734242X18783843

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The population of the Earth is moving towards urban areas forming smart cities (SCs). Waste management is a component of SCs. We consider a SC which contains a distribution of waste bins and a distribution of waste trucks located in the SC sectors. Bins and trucks are enabled with Internet of Things (IoT) sensors and actuators. Prior approaches focus mainly on the dynamic scheduling and routing issues emerging from IoT-enabled waste management. However, less research has been done in the area of the stochastic reassignment process during the four seasons of the year over a period of two years. In this paper we aim to stochastically reassign trucks to collect waste from bins through time. We treat this problem with a multi-agent system for stochastic analyses.

引用

页码：1113 / 1121

页数：9

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