An Ant Algorithm Based Dynamic Routing Strategy for Mobile Agents
نویسندگان
چکیده
Routing strategy is one of the most important aspects in a mobile agent system, which is a complex combinatorial problem. Most of current mobile agent systems adopt static routing strategies, which don’t consider dynamic network status and host status. This is a hinder to the performance and autonomy of mobile agents. Ant Algorithm is good at solving such kind of problems. After analyzing existing routing strategies of typical mobile agent systems, this paper summarizes factors that may affect routing strategy of mobile agents, proposes an Ant Algorithm based dynamic routing strategy by using both experience and network environment such as resource information, network traffic, host workload, presents an acquiring and storing method of routing parameters and decision rules according to the major characteristics of mobile agent migration. The simulation experiment is implemented and the results show our dynamic routing strategy can effectively improve the performance and autonomy of mobile agents.
منابع مشابه
User-based Vehicle Route Guidance in Urban Networks Based on Intelligent Multi Agents Systems and the ANT-Q Algorithm
Guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of Intelligent Transportation Systems (ITS). Nowadays, many complex systems can be controlled by using multi agent systems. Adaptation with the current condition is an important feature of the agents. In this research, formulation of dynamic guidance for vehicles has been investigated based...
متن کاملImprovement of Routing Operation Based on Learning with Using Smart Local and Global Agents and with the Help of the Ant Colony Algorithm
Routing in computer networks has played a special role in recent years. The cause of this is the role of routing in a performance of the networks. The quality of service and security is one of the most important challenges in routing due to lack of reliable methods. Routers use routing algorithms to find the best route to a particular destination. When talking about the best path, we consider p...
متن کاملImprovement of Routing Operation Based on Learning with Using Smart Local and Global Agents and with the Help of the Ant Colony Algorithm
Routing in computer networks has played a special role in recent years. The cause of this is the role of routing in a performance of the networks. The quality of service and security is one of the most important challenges in routing due to lack of reliable methods. Routers use routing algorithms to find the best route to a particular destination. When talking about the best path, we consider p...
متن کاملODASARA: A Novel on Demand Ant Based Security Alert Routing Algorithm for MANET in Grid Environment
This paper proposes a novel On Demand Ant based security alert routing Algorithm (ODASARA) for mobile adhoc networks in grid environment, which combines the on-demand routing capability of Ad Hoc On-Demand Distance Vector (AODV) routing protocol with a Ant Colony Optimization mechanism using ant like mobile agents. AODV requires the actual communication to be delayed until the route is determin...
متن کاملAnt-Based Alternate Routing in All-Optical WDM Networks
We propose an ant-based algorithm to improve the alternate routing scheme for dynamic Routing and Wavelength Assignment (RWA) in all-optical wavelength-divisionmultiplexing (WDM) networks. In our algorithm, we adopt a novel twin routing table structure that comprises both a P-route table for connection setup and a pheromone table for ants’ foraging. The P-route table contains P alternate routes...
متن کامل