In order to solve the problem that the traditional DV-Hop location algorithm has a large error in locating unknown nodes, this paper proposes an improved DV-Hop algorithm based on dual communication radius. By adding a communication radius, the algorithm updates the minimum hop number obtained by the unknown node closer to the beacon node to a smaller hop value and keeps the minimum hop number information of unknown nodes farther away. This method reflects the gap between the actual distances in terms of hop number, which solves the problem of the large difference between the actual distances of the same hops to a certain extent. Therefore, it is more advantageous to estimate the more accurate average jump distance and can calculate the more precise distance between them and obtain the more precise coordinates of unknown nodes. MATLAB simulation results show that the improved algorithm based on dual communication radius DV-Hop can effectively reduce the location error and improve the location accuracy and stability compared with the traditional DV-Hop location algorithm.

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This paper analyzes the choice behavior of strategic consumers and the impact of trade- in on product pricing path, compares the equilibrium deviation between different pricing decision- making methods, and discusses the optimal product pricing strategy under different situations. It is found that strategic consumers tend to buy low quality products with lower price if the degree of strategy is higher. The higher the level of quality investment, the stronger the willingness of strategic consumers to buy new products. Compared with centralized decision-making, decentralized decision-making is more conducive to the two enterprises to improve their own profit level. The relevant conclusions of the research can provide forward-looking basis for enterprises in the launch timing of new and old products, pricing decisions and trade-in strategies, which has certain theoretical significance and practical value.