Load balance control strategy under smart apron grid structure

Abstract

Abstract: Driven by flight flow, there appear problems such as large number of scattered nodes, strong heterogeneity of data, and dynamic changes of network topology in civil aviation apron network, resulting in load unbalance, fast resource consumption and short network life. Based on the theory of grid structure, an optimized ant colony algorithm for load balance control of apron router is proposed. The heuristic factor is defined by load quantity; negatively correlated transformation is conducted to the pheromone parameter of transition probability in order to realize load balancing of path transmission. Meanwhile, the network topology is optimized by deploying network node density. Simulation results show that the routing algorithm based on ant colony optimization is superior to the original LEACH algorithm in network energy consumption balancing, data transmission rate improvement and network life cycle increasing.

Key words: apron sensing, ant colony algorithm, LEACH algorithm, grid planning, load balancing

CLC Number:

V351
TP393

FEI Chunguo, MENG Meihan. Load balance control strategy under smart apron grid structure[J]. Journal of Civil Aviation University of China, 2020, 38(2): 33-37.

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