Intelligence Semantics

Advances in Reinforcement Learning by Abdelhamid Mellouk

By Abdelhamid Mellouk

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In the multi-cluster environment, using resources effectively is very difficult for the grid computing, however, a good learning model can improve the intelligence of multi-agent and also can raise the resources utilization rate. We do the experiment and the results prove that the cooperative learning model of agent which is introduced in this chapter can not only improve the intelligence of multi-agent, but also increase the utilization rate of idle resources in CSCW. 8. 6, ACM New York, NY, USA.

2007). “An efficient routing scheme with optimal power control in wireless multi-hop sensor networks”, Computer Communications, vol. 30, no. 14-15, pp. 2735-2743. , (2007). Impact of Adaptive Quality of Service Based Routing Algorithms in the next generation heterogeneous networks, IEEE Communication Magazine, IEEE Press, vol. 45, n°2, pp. 65-66. , (2008). , Vol. 31, n°11, pp. 2706-2715. , S. Hoceini, S. Zeadally, (2009). , Volume: 32 n°12, pp. 1371-1376, Elsevier, 2009. , (2005). 11 AdHoc Networks Delay and Routing, PhD Thesis, INRIA Rocquencourt, France.

In the case of QoS_AODV, we have modified the original algorithm in order to use the energy metric for the choice of the paths. Our extension takes into account the end-to-end delay and replaces the bandwidth metric with the energy consumed along the path. 1 Simulation setup and metrics We use NS-2 for our simulations. We randomly distribute 100 nodes on a 200x200m area. The nodes send 35 bytes messages at a maximum of 200 kbps. The initial energy for each node is 5J. For each scenario, we run 10 simulations with a topology chosen at random.

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