Using multi-agent geo-simulation techniques for intelligent sensor web management

Abstract

Sensor webs consist of a large collection of small nodes providing collaborative and distributed sensing ability in unpredictable environments. Nodes composing such sensor webs, are characterized by their resource restrictions, especially the energy, the processing, and the communication capacities. These nodes are also in constant interaction with each other and with their geographic environment. An efficient system aiming at managing sensor webs must take into account the evolution of the sensor nodes as well as the geographic environment. Such a management process involves coping with a variety of dynamic variables including the nodes characteristics, the environment properties as well as the sensed data. In this context, Multi-Agent GeoSimulation (MAGS) provides a flexible approach that can be used to easily analyse complex systems such as sensor webs in large scale georeferenced environments. The purpose of this paper is to present SensorMAGS, an agent-based geosimulation system which manages sensor nodes in virtual geographic environments. This system is applied in the context of a water resource monitoring project.

A discrete-event simulator for the web of things from an information retrieval perspective

“…The Sensor Web modeling and data assimilation system architectures has evolved remarkably since the first conception in 2005, and it can be useful as a basis for a WoT simulator adding a vision centered in things of the real-world more than in Earth's phenomenons. [9], [10] describes a MultiAgent Geo-Simulation (MAGS), which provides a flexible approach that can be used to manage sensor nodes in virtual environments. The proposal is based on a layered architecture and multi-agent systems.…”

A Multiagent Geosimulation Approach for Intelligent Sensor Web Management

“…One solution to the problem of SW analysis is Multiagent Geosimulation (MAGS). MAGS is a modeling and simulation paradigm which aims to study phenomena in a variety of domains involving a large number of heterogeneous actors (implemented as software agents) evolving in, and interacting with, a virtual representation of the geographic environment (VGE) [7,8]. Most of the current SW simulation platforms that we analyzed and assessed lack an explicit representation of the geographic environment [9].…”