With the rapid development of e-commerce, the backlog of distribution orders, insufficient logistics capacity and other issues are becoming more and more serious. It is very significant for e-commerce platforms and logistics enterprises to clarify the demand of logistics. To meet this need, a forecasting indicator system of Guangdong logistics demand was constructed from the perspective of e-commerce. The GM (1, 1) model and Back Propagation (BP) neural network model were used to simulate and forecast the logistics demand of Guangdong province from 2000 to 2019. The results show that the Guangdong logistics demand forecasting indicator system has good applicability. Compared with the GM (1, 1) model, the BP neural network model has smaller prediction error and more stable prediction results. Based on the results of the study, it is the recommendation of the authors that e-commerce platforms and logistics enterprises should pay attention to the prediction of regional logistics demand, choose scientific forecasting methods, and encourage the implementation of new distribution modes.

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Wireless sensor networks are energy constrained. Clustering algorithm is a key technology used to reduce power consumption in WSNs. The LEACH protocol is a typical adaptive clustering routing algorithm with low power consumption. Unfortunately, it has some disadvantages such as uneven distribution of cluster heads and unbalanced energy cost. In each round of communication, if a node moves away from a cluster or towards another cluster after cluster construction, LEACH protocol can't manage the route and process data effectively. An improved algorithm LEACH-M (LEACH-mobile) is presented in this paper to manage such routing problem in mobile network, which can make energy consumption more balanced. Cluster election mode is changed in LEACH-M by considering current energy level of each node and transmission power calculated by relative distance, then adjusting the probability of a node becoming cluster head. Mobile nodes can join new clusters in time and time slots of original and new cluster heads should be re-allocated, so that useless power consumption can be reduced. Simulation result shows that LEACH-M is effective in prolonging network lifetime and improving data transmission efficiency.

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Network coding mechanisms, such as COPE, can improve network throughput effectively in Wireless Mesh Networks (WMN). While the Hybrid Wireless Mesh Protocol (HWMP) is suitable for WMN, its extension with COPE does not provide any added benefits; specifically, HWMP cannot establish paths with more coding opportunities. As a result, the advantages of network coding cannot be exploited sufficiently. This paper proposes improvements upon HWMP with a new, network Coding-Aware routing protocol (CAHWMP) for WMN. In the CAHWMP protocol, we propose a coding criterion based on data streams to devise an algorithm for actively detecting coding opportunities during path discovery. CAHWMP subsequently establishes paths using the codingaware routing metric, which can balance channel resource consumption and the gain due to sharing resources introduced by network coding. Simulation results show that CAHWMP can establish paths with more coding opportunities; as a result, it improves network performance such as network throughput.