An ant colony optimization-based trustful routing algorithm for wireless sensor networks

To ensure the security of the data forwarding and requirement of QoS(Quality of Services) in wireless sensor networks, we propose an ant colony optimization-based trustful routing algorithm. The objective function includes the key factors, such as the time delay, the bandwidth and the energy consumption of the link from the source to the destination. Also, in order to optimize the path selection, to ensure that the data forwarding node safety, the trust value of neighbor nodes is introduced to the fitness function. Simulation results show that this proposed algorithm prolongs lifetime of whole network, and obtain fast, secure and energy-efficient routing in communication process.