Deployment planning of naval battlefield perception network for energy balance
WANG Kai-sheng
HUANG Yan-yan
SUN Peng-yao
ZHAI Wen-jie
Abstract：In order to realize effective monitoring of naval battlefield situation,this paper constructs a set of network deployment model based on energy balancing strategy,aiming at the problems of poor connectivity,short life and low perception of traditional perception network deployment model,and adds network connectivity to the constraint term,and proposes an energy consumption balancing strategy for network nodes to improve the life cycle and total perception of the network.An improved artificial hummingbird algorithm(IAHA)is proposed to solve the model.Differential variation strategy and reverse mapping strategy are introduced to improve the global optimization ability of the algorithm,and adaptive foraging strategy is introduced to improve the convergence speed of the algorithm.The experimental results show that the network generated by the proposed model has strong connectivity,and compared with other deployment strategies,the network generated based on energy balancing strategy has a longer lifetime and a higher perception total.Compared with the comparison algorithm,IAHA has stronger global optimization ability and faster convergence speed.
Keywords：battlefield perceptionnetwork architectureoptimizationbalanced energy consumptionartificial hum-mingbird algorithm
Publication Date：2026-02-28
Online Publishing Date：2026-04-08(First online date of this platform, not the publication date of the document)
Pages：11( 357-367 )