Intelligent land-use management and sustainable development: From interactingwireless sensors networks to spatial emergence for decision making

Cyrille Bertelle*, Mohaned Al-Obaidy, Aladdin Ayesh, Rawan Ghnemat

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010
Pages73-78
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010 - Oxford, United Kingdom
Duration: 22 Mar 201026 Mar 2010

Conference

Conference7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010
Country/TerritoryUnited Kingdom
CityOxford
Period22/03/1026/03/10
OtherSponsored by: IEEE Comput. Soc. Tech. Comm. Auton. Auton. Syst. (TC-AAS)

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