Research On Power Control Based Topology Control Algorithm For The Wireless Sensor Networks

Wireless Sensor Networks (WSN) is a self-organization network, which consists of huge number, density distributed nodes randomly deployed in a certain geographical area. A novel connection is established through the nodes'cooperation data sensing in the sensing area. WSN is a technology covering sensing technology, wireless communication and distributed computing, with a wide application in all kinds of fields such as military, environment, industry and agriculture. As the network node's energy is supplied by battery that can't be replaced, the strategy of energy saving has to be explored in order to prolong the network span.The topology control is an essential approach to improve the energy utility ratio, which can extend the network life span, reduce interference among nodes, influence the data diffusion and compensate the node failure.The task of this paper's research work is to design a power control based topology algorithm for wireless sensor networks, which is supposed to be used in the project of the Secure State Monitoring of Railway Hazard Goods in Transit. In this paper, a novel algorithm named Power control based Energy balance wireless sensor networks Topology control Algorithm (PETA) is proposedPETA comprises two aspects:group leader selecting phase and steady working phase. During the group leader selecting phase, a balance scheme group leader selecting is proposed. In the scheme, the next leader is assigned concerning its remaining energy and transmission power. This scheme balances the energy consumption effectively and improves the energy utility ratio as well. During the steady working phase, the data collected by the sensor node are transferred to the sink node through the accessing topology constructed by an algorithm based on power control, which is proved to be an excellent mode to optimize the communication power and to save energy. We can find that PETA is suitable for the Design of State Monitoring of Railway Hazard Goods in Transit. At last, the simulating result generated by NS2 shows that PETA satisfies the initial expectancy. PETA is fit for high density networks for its excellent performance in energy consumption balance and extension of network lifetime.