Research On Key Technologies Of Mobile Ad Hoc Networks

With the development of mobile wireless network,mobile ad hoc network(MANET)has become one of the hotspots of research.Due to the special communication environment,mobile ad hoc networks are faced with the problem of inefficient and unreliable information transmission due to node mobility,resource constraints,network topology dynamics and other challenges.At the same time,Delay Tolerant Networks(DTN)lack stable end-to-end connections due to sparse network density and node mobility.Therefore,routing mode is to do its best and also faces great challenges.In order to solve the challenges faced by routing in DTN,this paper first proposes the concept of social distance to measure the relationship between nodes in DTN network.On this basis,SimBetDis,a new routing protocol is proposed,which is based on the improvement of SimBet algorithm.SimBetDis is simulated by Python complex network analysis package NetworkX,and its delivery ratio,delay and overhead are compared with SimBet's and SimBetAge's.The results show that SimBetDis significantly improves the routing delivery ratio and reduces the overhead.In order to solve the dynamic change of network topology in MANET network,we verify that scale-free network is more conducive to information transmission through the theory of complex network,and propose a method of topology construction by adding super nodes.At the same time,we compared brain neurons and MANET nodes by bio-inspiration method,and selected the mechanism of transceiver separation and heterogeneous network model for simulation.The trend of bit error rate and throughput varying with the intensity of interference signal is discussed.Aiming at heterogeneous network structure,this paper focuses on the comparison of some performance parameters of AODV routing algorithm,and the WLAN latency and throughput.The results show that,compared with the traditional omni-directional MANET model,the combination of omni-directional and directional antenna and scalefree distribution with super nodes is more efficient and reliable.