Effective waste collection with shortest path semi-static and dynamic routing
Authors: Anagnostopoulos, Theodoros 
Zaslavsky, Arkady 
Issue Date: 1-Jan-2014
Conference: 14th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2014, and the 7th Conference on Internet of Things and Smart Spaces, ruSMART 2014, 27-29 August 2014, St. Petersburg, Russia 
Book: Internet of Things, Smart Spaces, and Next Generation Networks and Systems: Proceedings of the 14th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2014, and the 7th Conference on Internet of Things and Smart Spaces, ruSMART 2014 
Series: Lecture Notes in Computer Science
Keywords: Dynamic routing, Internet of things, Smart cities, Waste collection
Abstract: 
Smart cities are the next step in human habitation. In this context the proliferation of sensors and actuators within the Internet of Things (IoT) concept creates a real opportunity for increasing information awareness and subsequent efficient resource utilization. IoT-enabled smart cities will generate new services. One such service is the waste collection from the streets of smart cities. In the past, waste collection was treated with static routing models. These models were not flexible in case of segment collapse. In this paper we introduce a semi-static and dynamic shortest path routing model enhanced with sensing capabilities through the Internet connected objects in order to achieve effective waste collection.
ISBN: 978-3-319-10353-2
ISSN: 1611-3349
0302-9743
DOI: 10.1007/978-3-319-10353-2_9
URI: https://uniwacris.uniwa.gr/handle/3000/2719
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

CORE Recommender
Show full item record

SCOPUSTM   
Citations

30
checked on Nov 19, 2024

Page view(s)

17
checked on Nov 24, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.