TY - GEN
T1 - Simulating and evaluating dynamic channel assignment schemes in wireless communication networks through an improved multi-agent system
AU - Papazoglou, P. M.
AU - Karras, D. A.
AU - Papademetriou, R. C.
PY - 2007/12
Y1 - 2007/12
N2 - The efficient design and implementation of advanced wireless networks is based mainly on the capabilities of the available simulation environments. Towards a reliable simulation, the developing and modelling methodology is a critical issue. Thus, high adaptability of the simulation model to the real network behaviour is a major goal. In a real wireless network (e.g. cellular), call admission, hand-off, call termination and user movement procedures take place at the same time for every individual user. Every network procedure acts autonomously, interacts with the network environment, takes decisions, etc. Due to that fact each network procedure can be faced as an agent inside a concurrent environment. Regarding this approach, the agent cooperation and communication is a critical issue too. A centralized multi-agent negotiation scheme based on a multi-agent layered concurrent architecture for designing and evaluating channel allocation strategies is herein presented along with the dependency of the simulation results on the rules and implementation methods of agent negotiation schemes.
AB - The efficient design and implementation of advanced wireless networks is based mainly on the capabilities of the available simulation environments. Towards a reliable simulation, the developing and modelling methodology is a critical issue. Thus, high adaptability of the simulation model to the real network behaviour is a major goal. In a real wireless network (e.g. cellular), call admission, hand-off, call termination and user movement procedures take place at the same time for every individual user. Every network procedure acts autonomously, interacts with the network environment, takes decisions, etc. Due to that fact each network procedure can be faced as an agent inside a concurrent environment. Regarding this approach, the agent cooperation and communication is a critical issue too. A centralized multi-agent negotiation scheme based on a multi-agent layered concurrent architecture for designing and evaluating channel allocation strategies is herein presented along with the dependency of the simulation results on the rules and implementation methods of agent negotiation schemes.
KW - Cellular network
KW - Channel allocation
KW - Multi-agents
KW - Negotiation
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=84872092682&partnerID=8YFLogxK
UR - http://www.iiconference.org/publication.html
M3 - Conference contribution
AN - SCOPUS:84872092682
SN - 9780972741224
T3 - Proceedings of the 3rd Indian International Conference on Artificial Intelligence, IICAI 2007
SP - 699
EP - 710
BT - Proceedings of the 3rd Indian International Conference on Artificial Intelligence, IICAI 2007, India, December 17-19, 2007
T2 - 3rd Indian International Conference on Artificial Intelligence
Y2 - 17 December 2007 through 19 December 2007
ER -