| The rapid development of Wireless Sensor Networks (WSNs) benefits from theadvancing technologies of microelectronic, vehicular wireless network and sensor technique.The WSNs consists of a lot of sensor nodes which deployed in monitoring area. The sensornode is miniaturization, cheap, low power consumption etc., and has a certain ability ofcomputation, communication, storage and movement. They comprise a self-organizationcommunication network through a single hop or multiple hops. The unattended sensor nodecan perceive and collect the information of the target being monitored, further generate dataand processing data, and eventually transmit the information of monitoring to the operator.The sensor nodes use battery that electricity limited to provide energy in general, so how toreduce the energy that the sensor nodes dissipated is always a hotspot of the WSNs research.Based on reading large number of literature, found that optimized topology architectureis benefit for extending network lifetime, and has important role. For mobile targetmonitoring field, the paper proposed an algorithm: Energy Efficient Clustering TopologyControl Algorithm (EETCA), which based on LEACH. First, building a network model withbasic structure.Under the premise of network connectivity, to reduce the degree ofoverlap.Then, choose a suitable cluster head. Process of cluster-head election, whichsynthesis considering the sensor node remaining energy and consumption in previous cycle,which finished in three steps: sensor node compete to be candidate cluster-head node,candidate node compete to be cluster-head, cluster-head establishing. Finally, cluster-headconfirmed and the cluster structure established. Through simulation experiment,comparingto the classic algorithm, contrast started from percentage of sensor node energyconsumption and network lifetime, verifying the new algorithm have a high efficiency. Itconcluded that, the new scheme of cluster-head election extends the network lifetime morethan30%.Based on the cluster structure former established, the paper further proposed sleep andwake-up strategy with having inspired mechanisms. Analyzing location, sphere of influence,and movent information of the monitoring target at different times, reasonably predicted its movement trends. According to the movement trends, divided into different areas.Combined with hierarchical topology control, it reduced sensor node energy consumptionefficiently, and achieved the purpose of extending the network lifetime. Comparing to thestrategy without sleep and wake-up, contrast started from the network total consumption andalive nodes changing with time. It concluded that, new strategy can lower network energyconsumption, and extend the network lifetime more than20%. |