Control Study, Based On The Geographical Location Of Wsn Topology

Sensor technology has promoting effect on creativity and development of modern wireless sensor network. For some reasons, limited battery power, complex and dangerous geographical working areas are generally characterized by nodes in sensor network uses, so that energy battery can not be replaced or supplemented. Therefore, reduction of the energy consumption and extension of survival time is an important goal in wireless sensor network. The network topology optimization can not only improve the efficiency of the network protocol, but also be conducive to lay the foundation for sensor network applications, as well as saving node energy to prolong the network service life.Network topology structure is affected by topology control to a large extent. It is network topology that predominantly reduces energy consumption and prolongs survival time. How to effectively prolong the working time of cluster nodes and ensure uniform distribution of cluster clustering algorithm is the key issue. In the control mechanism, the topological structure of WSN LEACH is put forward as an ad hoc cluster protocol. By agreement to geographical position, there are uneven information clumps of cluster, unreasonable choice and cluster nodes directly and BS communication defects such as excessive consumption. But for cluster head choosing unreasonable, existing algorithms based on location can not apply to large scale and dynamic changes of wireless sensor network. Based on the above analysis, a new geographic location clustering algorithm is proposed, using Genetic Algorithm to do the first choice which can optimize choice of cluster head, avoid the cluster nodes directly and base communication and reduce energy consumption in cluster communication. Compared with traditional topological control algorithm in network of cluster, survival time, energy and network throughput are significant improved.