Cross-layer Optimization For Wireless Sensor Networks Based On Energy

With the continuous development of communication technology,integrated circuit technology,embedded technology and wireless communication technology,low-power,low-cost multi-functional wireless sensor it has been widely used.Large number of mobile or stationary sensor nodes are randomly deployed in areas difficult to reach people,to self-organization and multi-hop composed manner wireless sensor networks(WSN),WSN real-time acquisition and processing of information under various environments,and interest target long-term monitoring.It has been widely used in the field of special areas of common smart home,agricultural production,industrial manufacturing and medical care,as well as field exploration and space exploration.Sensor nodes are usually deployed randomly changing environment where,on battery power when the battery runs out of energy will not continue to work,and therefore the energy consumption of wireless sensors WSN become the core problem,the energy consumption of people for a lot of research and research has made some achievements,such as control WSN topology,data fusion technology,clock synchronization,power control technology and WSN protocol stack optimization WSN technology can reduce energy consumption.Traditional hierarchical optimization model study and research to understand the function of the main protocol layers WSN protocol algorithm,the traditional hierarchical optimization model design simple,you can optimize network performance to some extent,but there are more serious limitations,lack of inter-layers information exchange,prone to easy data,an optimal performance level may degrade the performance of other layers,so that the whole network can not reach the optimal performance,and therefore need to further optimize the network using a cross-layer optimization method,the existing cross-layer optimization ideas and methods of learning.Physical,link and network layers closely,WSN networking and communications related to the use of joint cross-layer design optimization methods,joindesign of the physical layer,link layer and network layer protocols,proposes a cross-layer optimization model improve the efficiency of information exchange between the layers,and optimize networking and communication networks,and cross-layer optimization model is applied to clustering routing algorithm,to develop a more rational routing,a more optimal cluster,choose a more energy-efficient path data forwarding,to extend the network life cycle to achieve the purpose.For clustering routing protocol design simulation program for clustering routing algorithm network lifetime,node residual energy and the ability to adapt to the environment simulation testing,validation,cross-layer optimization model of correctness and effectiveness.