Ad hoc network is a special network with centerless and dynamic topology. Due to the free mobility of the nodes, routing security has been a bottleneck problem that plagues its development. Therefore, a multi-path QoS (quality of service) routing security algorithm based on blockchain by improving the traditional AODV (ad hoc on-demand distance vector) protocol (AODV-MQS) is proposed. Firstly, a chain of nodes is established in the network and the states of all nodes by making the intermediate nodes on the chain are saved. Secondly, the smart contract in the blockchain is set to filter out the nodes that meet the QoS constraints. Finally, two largest unrelated communication paths are found in the blockchain network through smart contract, one of which is the main path and the other is the standby path. Simulation experiments show that the performance of the proposed algorithm is better than other algorithms, especially in an unsafe environment.

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Ad Hoc network is a special network with no center and dynamic topology changes. Due to the free mobility of nodes, routing security has always been a bottleneck problem that plagues network development. Therefore, this paper proposes a multi-path QoS (Quality of Service) routing security algorithm based on blockchain by improving the traditional AODV (Ad hoc On-Demand Distance Vector) protocol (AODV-MQS). The algorithm first establishes a blockchain network and saves the state of all nodes by making the intermediate nodes on the chain. Then the smart contract in the blockchain is set to filter out the nodes that meet the QoS constraints. Finally, two largest unrelated communication paths are found in the blockchain network through smart contract, one of which is the main path and the other is the standby path. Simulation experiments show that this algorithm has better performance than other algorithms in an unsafe environment.

This paper proposes an improved retain and replace (QGDA) genetic algorithm through selecting code in the Ad Hoc network routing. The simulation shows that this algorithm has more superior than that of the traditional retain elites (GAES) genetic algorithm and based on information entropy IEIAE immune algorithm in the delay and control of the expenditure.