| The growing demand for wireless services drives the rapid development of wireless communication networks.Mobile Ad Hoc Networks(MANETs)are widely used in various scenarios due to its convenient networking and low deployment costs.The exponential growth of the number of mobile devices has promoted MANET to become one of the important types of wireless networks.However,the characteristics of MANET,such as high dynamics,energy constraints,lack of centralized infrastructure,and variable link capacity,make its own Quality of Service(QoS)face severe challenges.In view of the above problems,this paper conducts research on key technologies such as load balancing and multipath routing in MANET:In response to the problem of traffic load imbalance in high-speed and energy constrained MANET networks,on the basis of the existing AOMDV algorithm using the hop count as the basis for routing,this paper proposes a routing metric model based on load energy balance,and further considers Link quality factors such as MAC layer queue length,average remaining energy,and signal reception strength between nodes are analyzed,and these factors are weighted by using the Analytic Hierarchy Process(AHP)to improve the communication quality of various services in network transmission.In addition,in the route maintenance process,in order to balance the network energy consumption as much as possible,this paper establishes energy dynamic detection mechanism.Aiming at the defect that backup routing not being fully utilized in scenarios with high business loads,this paper proposes an adaptive traffic allocation strategy based on probability selection.This strategy utilizes the mobility characteristics of the Random Waypoint Mobility Model(RWMM)to determine the proportion of the product of path connection probability and routing metrics to the total path value,as the selection probability for each path.At the same time,a path forwarding counter and a random number generator are used to poll multiple paths.And periodically update the path selection probabilities to improve the effectiveness of the available paths.The simulation results show that in scenarios with limited energy,fast topology change and high load,the multipath routing algorithm with load energy balance proposed in this paper can not only establish a more robust route,but also can perceive the energy consumption of nodes and the status of links in real time according to the state of the network,and adaptively call the path using the probability to select the best path for data transmission,which significantly improving performance in terms of packet delivery ratio,average end-to-end delay,throughput,energy exhausted nodes,and route rediscovery frequencies. |