solves the problem of premature disability of cluster head nodes at single-hop mode
enhances the stability of network communication
and improves energy efficiency of the network.However
by the multi-hop mode
cluster head nodes close to base station work on a lot of data forwarding
leading to their premature death
network empty
shortening the life cycle.Aiming at this problem
proposes optimized clustering routing strategy based on quantum evolutionary algorithm(QEA)
through diversities of QEA
rapid convergence
global search ability
and so on
so as to optimizes inter-cluster routing
further more balances effectively the energy consumption among cluster head nodes.Simulation results show that compared with classic LEACH and EEUC protocol
optimized clustering routing strategy based on QEA can balance the cluster head node energy consumption and prolong the network lifetime effectively.