Model-based provisioning and management of adaptive distributed communication in mobile cooperative systems
type: Distribution
access URL: https://hal.science/hal-00676940
format: HTML
issued: 2026-05-25T14:33:58.850464
modified: 2026-05-25T14:33:58.718005

test_moissonnage_selune
type: Agent

Model-based provisioning and management of adaptive distributed communication in mobile cooperative systems
type: Dataset
contact point: Organization
  fn: CCSD
keyword: infoeu-reposemanticspreprint
keyword: infoinfo-secomputer-science-cssoftware-engineering-csse
keyword: autonomic-computing
keyword: middleware
keyword: self-reconfiguration
keyword: event-based-communication
keyword: software-agent
keyword: ontology
keyword: wireless-communication
keyword: self-adaptation
keyword: preprints-working-papers-
keyword: semantic-model
landing page: https://hal.science/hal-00676940
description: Adaptation of communication is required to maintain the reliable connection and to ensure the minimum quality in collaborative activities. Within the framework of wireless environment, how can host entities be handled in the event of a sudden unexpected change in communication and reliable sources? This challenging issue is addressed in the context of Emergency rescue system carried out by mobile devices and robots during calamities or disaster. For this kind of scenario, this book proposes an adaptive middleware to support reconfigurable, reliable group communications. Here, the system structure has been viewed at two different states, a control center with high processing power and uninterrupted energy level is responsible for global task and entities like autonomous robots and firemen owning smart devices act locally in the mission. Adaptation at control center is handled by semantic modeling whereas at local entities, it is managed by a software module called communication agent (CA). Modeling follows the well-known SWRL instructions which establish the degree of importance of each communication link or component. Providing generic and scalable solutions for automated self-configuration is driven by rule-based reconfiguration policies. To perform dynamically in changing environment, a trigger mechanism should force this model to take an adaptive action in order to accomplish a certain task, for example, the group chosen in the beginning of a mission need not be the same one during the whole mission. Local entity adaptive mechanisms are handled by CA that manages internal service APIs to configure, set up, and monitors communication services and manages the internal resources to satisfy telecom service requirements.
issued: 2026-05-25T14:33:58.753395
language: en
modified: 2026-05-25T14:33:58.753402