Jean-Paul Jamont

Flood decision support system on agent grid: method and implementation

In this paper, we introduce the concept and architecture of agent grid. Agent grid is an intelligent platform that enables the independent operating entities (agents) to interact with one another to form dynamic services on the Grid. Under this view, we built an agent grid platform named AGrIP that includes four layers and several useful toolkits. With the platform support, we implemented the flood decision support system which combines the wireless sensor network for data acquisition and software agent technology for legacy system integration. Additionally, we developed a toolkit for programmers to visually develop software agents which makes the development process easier. Besides, the MWAC model proposed is for sensor network to save power which can transit the information for long distance. This system is now applied as a module in the city emergency interact project.

An Avatar Architecture for the Web of Things

The Web of Things extends the Internet of Things by leveraging Web-based languages and protocols to access and control each physical object. In this article, the authors summarize ongoing work promoting the concept of an avatar as a new virtual abstraction to extend physical objects on the Web. An avatar is an extensible and distributed runtime environment endowed with an autonomous behavior. Avatars rely on Web languages, protocols, and reason about semantic annotations to dynamically drive connected objects, exploit their capabilities, and expose user-understandable functionalities as Web services. Avatars are also able to collaborate together to achieve complex tasks.

Semantic Discovery and Invocation of Functionalities for the Web of Things

As the number of connected objects increases, there is a need to offer rich user experience and facilitate communication between physical objects with Web-based solutions. Our work relies on the notion of avatar to extend an object on the Web. We herein propose a model for the avatar to expose functionalities based on the capabilities objects offer. We motivate our work with a temperature regulation scenario and we evaluate the applicability of our proposal with an implementation.

A Multiagent Tool to Simulate Hybrid Real/Virtual Embedded Agent Societies

Decomposing a real world problem into a multiagent solution and implementing the corresponding embedded multiagent system are difficult tasks. Agent models must be degraded in respect with resource constraints (memory, CPU) and energomic constraints. These constraints introduce deviations at two levels: the embedded agent and the whole system. This paper introduces hardware/software hybrid simulation of multiagent systems where real physical and virtual simulated agents cohabit. It presents the MultiAgent Hardware Software Simulator (MASH) and a discussion about our experience in using this tool.

A Web-Based Agent-Oriented Approach to Address Heterogeneity in Cooperative Embedded Systems

This paper presents a MAS-oriented approach to enable emergence and execution of complex functionality among a fleet of heterogeneous connected objects. It relies on the Web of Things paradigm, in which such objects communicate using Web standards. In order to homogenize the objects and extend their capabilities, our approach is based on agents that can be deployed either on objects or in the cloud. Such agents can embody the object behaviors and perform negotiation to achieve collaborative functionalities.

A Self-Organization Process for Communication Management in Embedded Multiagent Systems

This paper deals with a multiagent self-organization process aiming to give adaptive features to distributed embedded systems involving intelligent agents in open real world. We propose a formal description of this model of self-organization.

A self-organized energetic constraints based approach for modelling communication in wireless systems

Open physical artificial systems often involve wireless autonomous entities under high constrainted energetic policies. Their features naturally lead to apply multiagent techniques to ensure both the autonomy of entities and the best whole system organization. We propose a multiagent approach for wireless communication robust management for such physical systems using self-organization mechanisms.

Toward Self-adaptive Ecosystems of Services in Dynamic Environments

Dynamic composition of services enables users to use complex services with a minimal human intervention. Services that interact in highly dynamic physical world can not remain static, they must be continuously adapted to changes in their environment. Classical mechanisms of service composition are not suitable to implement the service adaptation in open and dynamic environments. We propose an approach based on Multiagent Systems to develop services ecosystems and face the challenge of service adaptation as a constraint satisfaction problem. In this paper, effects of service dispersion and density in the ecosystem are showed.

Lightweight trusted routing for wireless sensor networks

Communication in ad hoc network, such as wireless sensor networks (WSN), needs the use of decentralized routing algorithms requiring that several sensors behave in an expected way. This introduces vulnerabilities as the global issue of decentralized tasks depends on local behaviors and is compromised in case of failures or malicious intrusions. We propose here an adaptation of a routing protocol for WSN, the MWAC model, that introduces trust decisions to detect and avoid sensors that exhibit an incorrect behavior. The proposed trusted routing algorithms takes into account the low energy, communication and memory capacity of sensors to provide a realistic improvement of the routing robustness.

Using self-organization for functional integrity maintenance of wireless sensor networks

This paper deals with an application of multiagent self-organization techniques to intelligent sensor networks. We sketch a multiagent systems architecture according to the AEIO method for the EnvSys project. This multiagent system consists of self-organizing hybrid agents. We present interesting results in the last part showing the benefits of this approach compared to traditional ad-hoc protocol performances.