Research On Energy Optimized Wireless Ad Hoc Network Routing Protocol

Wireless ad hoc network is composed of a group of mobile nodes using radio as communication channel.It is an autonomous system configured,organized and controlled in an independent way.The nodes in the network are powered by batteries with limited energy.If the nodes run out of batteries,the network life will be shortened,resulting in the degradation of network performance.Routing is the key technology of wireless ad hoc networks.Therefore,energy-saving routing protocol is the first choice to improve network performance.The existing strategies have less performance on energy conservation.In order to overcome these limitations,the following research work has been carried out:First of all,this paper summarizes the research background and current situation of this paper,introduces the related concepts and characteristics of wireless self-organizing network,studies,compares and analyzes the main router protocols of wireless self-organizing network,summarizes the energy-saving methods of wireless self-organizing network,and briefly describes the simulation tools used.Secondly,an improved routing protocol eaodv based on energy optimization is proposed to solve the problems of energy limitation and link instability in wireless ad hoc networks.In the routing discovery phase,the energy classification method is used to select the nodes with normal energy level according to the set dynamic energy threshold;in the routing selection phase,the weight method is used to quantitatively allocate the weight values of energy factor and stability factor,calculate the routing efficiency factor,and select the path with the lowest routing efficiency factor to transmit data.Simulation results show that compared with AODV protocol,eaodv protocol reduces network energy consumption and prolongs network lifetime.Finally,in order to further reduce the energy consumption of nodes and the overhead in the network,an energy-saving eaodv routing protocol based on adaptive fuzzy control and adaptive neural fuzzy control is proposed.Taking the energy and mobility of nodes as the input and the hello interval as the output,the optimal hello interval is obtained by calculation,and the simulation results in the highly mobile and dense environment are achieved.