Automata for Agent Low Level Language Interpretation

2014 14th International Conference on Intelligent Systems Design and Applications

2014

In the wireless sensor networks research area are resources the most common problem. Wireless sensor network is created by rather small nodes, which have limited computing power. They also have small batteries that ensure only limited time to run. There is need to create applications for wireless sensor networks that will be aware of these limitations. For modelling application for such a sensor network there is useful to have a common framework that will ensure usage of the best practises for creating an application for the network.We have created methodology to provide the framework for creating an energy efficient application. This methodology is called JESTER and this paper describes step by step case study that will show how the methodology works and how should be treated. At the end of this paper we provide output from the methodology, the model of created application.

Section: A Metamodelmentioning

confidence: 99%

JESTER methodology: A wood of fire case study

Zak

2014 14th International Conference on Intelligent Systems Design and Applications

2014

“…Realization of the machine (interpreter) has been described in details elsewhere [11] and here we present just an overview of its principles. Because the interpretation is based mainly on a control language in which the plans are written, we introduce such language in brief first.…”

Section: B Wsagent Interpretationmentioning

confidence: 99%

Intelligent Agent Platform and Control Language for Wireless Sensor Networks

2009 Third UKSim European Symposium on Computer Modeling and Simulation

Horáček

Spacil

2009

Self Cite

In this paper we present our solution that brings artificial agents into the world of wireless sensor networks. Architecture of agent platform, which is implemented on individual nodes of such network, is also introduced and its functionality on the conceptual level is described. Important part of the platform is a module for an agent control language interpretation. Such language is an original low level control language called Agent Low Level Language (ALLL). Other modules are responsible for data logging, agent migration and for general control of the platform execution cycle.

“…Our WSageNt platform [4], [5] provides services, that will assign the best node for agent's work automatically. WSageNt does not use exact addressation of nodes, which is used by other platforms.…”

Section: Introductionmentioning

confidence: 99%

Mobile code placement in wireless sensor networks

Horáček

2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)

2012

This article describes our approach to develop a novel system that will automatically select the best node in wireless sensor network, which is suitable for mobile code or mobile agent. We propose to use vague addresation of sensor nodes, that is based on geo-routing algorithms and takes into account other needs of mobile agent such as data validity of values sensed from specific sensor. We will discuss main drawbacks of exact addresation of nodes and reasons why we use vague addressation.