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Fast Mobile Wireless Network Routing based on the Clustering and Chaos-CNN | ||
| Journal of College of Education | ||
| Article 1, Volume 0, Issue 1, 2017, Pages 63-80 | ||
| Authors | ||
| Haider Kadhim Hoomod; Tuka Kareem Jebur | ||
| Abstract | ||
| In this research we using intelligent algorithm such as neural network to solve the problem of routing by finding the optimal path between source and destination and clustering algorithm to find path in clusters. A new routing algorithm based on the clustering and neural network was proposed. The modification to chaotic Cellular neural network (MCCNN) was suggest, combine with proposed Modified K-Mean clustering method to make the routing more intelligent and adaptive in finding the optimal routes for ad hoc wireless network (like MANET). Routing Results show how the proposed routing algorithm were high speed comparing with Dijkstra algorithm. The different of speed gaining time with percentage 250 t0 380%. This make proposed algorithm useful in the fasting routing. Also, the results of the proposed system are optimal path not only shortest path. It depending on the group of factors and parameters to select the path between two points in the wireless network. | ||
| Keywords | ||
| Wireless routing; mobile wireless; MANET; MANET routing; clustering; wireless network clustering; Intelligent routing | ||
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