Title :
Ant-colony optimization based on cluster routing protocol of Ad Hoc
Author :
Li, Li ; Guo Yong
Author_Institution :
Coll. of Inf. & Eng., Nanchang Univ., Nanchang, China
Abstract :
Ad Hoc networks, CBRP clustering routing protocol through the network sub-clusters to enhance the network scalability, reducing routing control overhead, but its clustering algorithm uses the smallest ID algorithm, resulting in excessive energy consumption of cluster head nodes, reduces the network lifetime. This paper presents a clustering based on ant colony optimization algorithm CAACO, optimal selection cluster using the cluster head and cluster head rotation mechanism, improve the stability and robustness of the network, thereby reducing the burden of cluster head nodes to alleviate the node energy consumption excessive problems, extending the network lifetime. The simulation results confirm that its performance is better than CBRP and MCBRP.
Keywords :
ad hoc networks; optimisation; pattern clustering; power consumption; routing protocols; CBRP; ad hoc network; ant colony optimization; cluster head nodes; cluster routing protocol; clustering algorithm; energy consumption; network lifetime; network scalability; robustness; stability; Ad hoc networks; Ant colony optimization; Clustering algorithms; Energy consumption; Network topology; Performance analysis; Robust stability; Robustness; Routing protocols; Scalability; Ad Hoc Network; Ant-Colony Optimization; Clustering Routing;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486139