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

doi:10.1109/EASe.2010.17

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 proceeding › Published 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 language	English
Title of host publication	Proceedings of the 7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010
Pages	73-78
Number of pages	6
DOIs	https://doi.org/10.1109/EASe.2010.17
Publication status	Published - 2010
Event	7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010 - Oxford, United Kingdom Duration: 22 Mar 2010 → 26 Mar 2010

Conference

Conference	7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010
Country/Territory	United Kingdom
City	Oxford
Period	22/03/10 → 26/03/10
Other	Sponsored by: IEEE Comput. Soc. Tech. Comm. Auton. Auton. Syst. (TC-AAS)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/EASe.2010.17

Cite this

Bertelle, C., Al-Obaidy, M., Ayesh, A., & Ghnemat, R. (2010). Intelligent land-use management and sustainable development: From interactingwireless sensors networks to spatial emergence for decision making. In Proceedings of the 7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010 (pp. 73-78). [5457819] https://doi.org/10.1109/EASe.2010.17

Intelligent land-use management and sustainable development : From interactingwireless sensors networks to spatial emergence for decision making. / Bertelle, Cyrille; Al-Obaidy, Mohaned; Ayesh, Aladdin et al.

Proceedings of the 7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010. 2010. p. 73-78 5457819.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Bertelle, C, Al-Obaidy, M, Ayesh, A & Ghnemat, R 2010, Intelligent land-use management and sustainable development: From interactingwireless sensors networks to spatial emergence for decision making. in Proceedings of the 7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010., 5457819, pp. 73-78, 7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010, Oxford, United Kingdom, 22/03/10. https://doi.org/10.1109/EASe.2010.17

Bertelle C, Al-Obaidy M, Ayesh A, Ghnemat R. Intelligent land-use management and sustainable development: From interactingwireless sensors networks to spatial emergence for decision making. In Proceedings of the 7th IEEE International Conference and Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2010. 2010. p. 73-78. 5457819 doi: 10.1109/EASe.2010.17

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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.",

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AB - 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.

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

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