Research On Energy-Efficient Optimization Techniques For Wireless Sensor Networks

Wireless Sensor Network (WSN) is a new type of network. In WSN,the tiny nodes,which consist of low-cost, low-power, sensing, data processing and wireless communication components,are deployed densely and randomly in large numbers. The tiny nodes form the WSN in a self-organization manner. Based on the diverse onboard sensors, the WSN can sense the field and communicate the information to the remote sink in an efficient and timely manner. The sensing performance and reliability have been improved significantly in WSN. So the WSN can be widely used in military sensing, security, environmental monitoring, traffic surveillance, medical treatment, building and structures monitoring,even anti-terrorism, etc. However, since the sensor nodes are battery driven and it is impractical to recharge the battery for so many nodes after deployment, energy efficiency has been a key concern in the research work of WSN. On the other hand, because the many applications are widespread in WSN, the different application has the varying degree the Quality of Services (QoS) requirements, Therefore, designing the low energy consumption and meeting the QoS of the WSN is significant for application and development.In order to further improve the performance, the researching takes the extension lifetime and saving the energy consumption as purpose. Several solutions to some key problems in WSN are proposed. In coverage control optimization aspect, a strategy of deployment based on energy-saving and virtual force is proposed. In optimized route aspect, a kind of hierarchical niche ant colony algorithm is proposed. In optimized data aspect, a way of processing data based on Vague set theory is proposed to make the reduction and decision. In power of nodes optimization aspect, Improved PID controller based on Vague set theory is designed for self-turnning power and a design method of the hardware platform and software flow are provided.