Nodes in wireless sensor network have limited power supply and wireless channels between them are sensitive to interference. In order to make good use of the limited energy, a routing algorithm is proposed which uses the Ant Colony Optimization Algorithm to balance the load of the network and extend the network life, the proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster heads．Simulation results show the feasibility and effectiveness of this algorithm．

Due to the special demand of energy control and balancing the energy of nodes in wireless sensor networks，multipath routing based on ant colony system(MACS)was proposed. The algorithm utilizes the self-organization，self-adaptability and dynamic optimization capabilities of the ant colony to find the optimal routing and suboptimal routing from sources to Sink．Simulation results show the algorithm balances energy consumption of nodes and extends network lifetime effectively．

Routing algorithm based on ant colony optimization for wireless sensor networks has the ant colony algorithm characteristics of self-organization, the positive feedback and the parallelism, which has good performance in constructing the optimal routing. In this paper, the distance for stimulating factor is improved, the communication distance is introduced and the pheromone update methods having the rewards and punishment mechanism are adopted, which can make better use of residual energy for wireless sensor networks nodes, prolong life of network and guarantee the effect of the optimization algorithm.

Wireless sensor network has features such as the limited energy of nodes and poor processing ability. A framework for mobile agent-based data fusion is proposed,whose routing strategy was implemented by using approximation algorithm. The theoretical analysis and experimental results show that the proposed algorithm is superior to other intelligent algorithms in terms of the solutions.It proves that the proposed approach has obviously prolonged the network lifetime.

How to make good use of the limited energy to maximize the network life span is an important problem of the wireless sensor network. The life of WSN depends on the minimum of the residual energy of its nodes. A fair energy balance routing algorithm is proposed which uses the Ant Colony Optimization Algorithm (ACO) to balance the network energy distribution and extend the network life. The proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the Ant Colony to get a tread off between the shortest path and the fair energy balance. Simulation results show that the proposed algorithm is good at balancing the energy, and it effectively extends the span of the network life.