The Research Of The Maximum Lifetime Of AdHoc Network Based On Topology Control

Wireless ad hoc network (ad hoc) is composed of a group of mobile nodes withwireless transceiver, it is a multi-hop and temporary self-organizing network and canbuild up a mobile communication network without infrastructure at any time and place.According to the nodes of AdHoc network move randomly or have limited energy,self-organizing, multi-hop and other characteristics, the mobile terminal nodes can builda network to maintain communication quickly under harsh environment and emergencyservices. Therefore, the study of the life cycle to maximize the AdHoc network has acertain significance.Through the analysis of planar structure and hierarchical structure of AdHocnetwork topology, Solving the survivability problem by using scalability andsurvivability hierarchical network topology control technology of AdHoc network.According to the dynamic changes of AdHoc network topology, limited energy andother characteristics, this paper proposes the Low Energy Adaptive ClusteringHierarchy and Based on Energy, Mobility and Degrees of the nodes on-demandWeighted Clustering Algorithm, the algorithm will change random nodes distributing inthe network into the structure of cluster and solve the problem of unbalanced energyconsumption or reduce the frequency of updates to cluster heads and balance energyconsumption of the nodes in the network, at last the algorithm prolongs the survivaltime of network. On this basis, the paper established a small-world networkcommunication model and described steps of inter cluster communication andmaintenance strategy of constructing small world AdHoc network to improve thestability and the invulnerability of overall network topology structure.Finally, simulating the Low Energy Adaptive Clustering Hierarchy and Based onEnergy, Mobility and Degrees of the nodes on-demand Weighted Clustering Algorithmby using the NS2software, the relationship between election rounds and the number ofsurviving node, election rounds and residual energy and the rate of the nodes move andthe cluster heads change by using the Low Energy Adaptive Clustering Hierarchy andBased on Energy, Mobility and Degrees of the nodes on-demand Weighted Clustering Algorithm. The results show that the Low Energy Adaptive Clustering Hierarchy andBased on Energy, Mobility and Degrees of the nodes on-demand Weighted ClusteringAlgorithm has significant advantages in terms of the residual energy or the mobility ofthe nodes and stability of the cluster, it can balance the energy of the nodes and reduceenergy consumption of the nodes, most importantly, it can increase the stability ofclusters and the survivability of overall network, thereby maximizing network lifetime.