An QoS Algorithm Based on ACO for Wireless Sensor Network

Ant colony optimization algorithm is widely used in various NPC problems for the global optimization, self learning ability and other characteristics, and achievements were made in WSNs field. Based on the study of Ant colony algorithm, in this paper, we propose a new energy-effective QoS routing algorithm. The algorithm is to speeds up the convergence of ant colony algorithm by using SNGF to optimize routing candidate nodes, the pheromone is defined as a combination of link load and bandwidth delay. Then, in order to balance the energy consumption of network, node energy will be used as the control factor of the ant colony algorithm. The nodes with high energy, which satisfy the QOS requirements and high energy of nodes as the next-hop routing, Simulation results showed that the protocol was effective in prolonging the life cycle of the network and balancing energy consumption.