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

共 50 条

[31] A Hypergraph-Based Blockchain Model and Application in Internet of Things-Enabled Smart Homes
Qu, Chao
Tao, Ming
Yuan, Ruifen
SENSORS, 2018, 18 (09)
[32] Task Scheduling in Fog Enabled Internet of Things for Smart Cities
Liu, Qianyu
Wei, Yunkai
Leng, Supeng
Chen, Yijin
2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017), 2017, : 975 - 980
[33] Circular dairy supply chain management through Internet of Things-enabled technologies
Kazancoglu, Yigit
Ozbiltekin-Pala, Melisa
Sezer, Muruvvet Deniz
Kumar, Anil
Luthra, Sunil
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022,
[34] Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming Applications
Kamilaris, Andreas
Gao, Feng
Prenafeta-Boldu, Francesc X.
Ali, Muhammad Intizar
2016 IEEE 3RD WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2016, : 442 - 447
[35] Recent Patient Health Monitoring Platforms Incorporating Internet of Things-Enabled Smart Devices
Kang, Minhee
Park, Eunkyoung
Cho, Baek Hwan
Lee, Kyu-Sung
INTERNATIONAL NEUROUROLOGY JOURNAL, 2018, 22 : S76 - S82
[36] Computationally Networked Urbanism and Big Data-driven Decision-Making Processes for Internet of Things-enabled Smart Cities
Nica, Elvira
Kliestik, Tomas
Konecny, Vladimir
INNOVATIVE MODELS TO REVIVE THE GLOBAL ECONOMY, 2020, : 720 - 728
[37] A Multi-Agent System for Service Provisioning in an Internet-of-Things Smart Space Based on User Preferences
Mandaric, Katarina
Dilberovic, Ana Keselj
Jezic, Gordan
SENSORS, 2024, 24 (06)
[38] Internet of Things-Enabled Logistic Warehouse Scheduling Management With Human Machine Assistance
Zhang, Ziwen
INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT, 2022, 15 (04)
[39] Cyber-Physical Customer Management for Internet of Robotic Things-Enabled Banking
Hajiabbasi, Milad
Akhtarkavan, Ehsan
Majidi, Babak
IEEE ACCESS, 2023, 11 : 34062 - 34079
[40] Multi-agent reinforcement learning enabled link scheduling for next generation Internet of Things
Zou, Yifei
Yin, Haofei
Zheng, Yanwei
Dressler, Falko
COMPUTER COMMUNICATIONS, 2023, 205 : 35 - 44

← 1 2 3 4 5 →