NDLI: Intelligent Land-Use Management and Sustainable Development: From Interacting Wireless Sensors Networks to Spatial Emergence for Decision Making

Content Provider	IEEE Xplore Digital Library
Author	Bertelle, C. Al-Obaidy, M. Ayesh, A. Ghnemat, R.
Copyright Year	2010
Abstract	This paper addresses the modelling of land-use development described by users-services systems. On one hand, the increasing economical, technological, social and environmental changes in our world make the management of urban services to be a great challenge. On the other hand, new technologies provide efficient tools in order to obtain accurate information from various sensors or captors leading to targeted service delivery based on localized factors. Within this paper, we propose a descriptive model to deal with land-use development, based on a three level system in which the environment is an active level interacting with users and services. The three levels are represented in a form of a network of networks consisting of active nodes in dynamic system context. This descriptive model helps in isolating the decision making in a distributed autonomous fashion. Bio-inspired Swarm Intelligence techniques are utilized to realise this objective. The integration between environment sensing, services information handling and planning is a key and difficult part within this research.
Starting Page	73
Ending Page	78
File Size	5054671
Page Count	6
File Format	PDF
ISBN	9781424465354
e-ISBN	9781424465361
DOI	10.1109/EASe.2010.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-22
Publisher Place	England
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	self-organization Decision making Sustainable development Environmental economics Environmental management Particle swarm optimization Intelligent sensors Intelligent networks Wireless sensor networks Technology management spatial emergence complex systems Disaster management decision making wireless sensors networks swarm intelligence
Content Type	Text
Resource Type	Article

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