Robust optimization based on ant colony optimization in the data transmission path selection of WSNs

Secure data transmission plays a very important role in the energy-efficient path topology establishment of wireless sensor networks. Robustness of data transmission path has been paid much attention. However, most researchers only focus on the security between data and path and ignore the impacts of malicious nodes. In this research, we first detect the malicious nodes by using the Bayesian voting algorithm and remove them from the network before the data transmission path construction. Then, we propose a new robust optimization based on ant colony optimization (ROACO) in the data transmission path selection to improve the lifetime of the network, where the residual energy of nodes, the distances between nodes, data redundancy and link security are taken into consideration comprehensively in the formulation of the probability formula of the node path selection. The MATLAB simulation results show that the proposed algorithm prolongs the network lifetime, reduces the load of the nodes and also improves the ratio of the successful path of the network obviously.