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中文摘要：
如何有效使用无线传感器节点有限的能量来最大化网络的寿命是无线传感器网络研究的重要问题．网络能量是否均衡消耗对网络寿命有着决定性的影响．本文将蚁群优化算法应用于无线传感器网络的路径选择，提出一种基于蚁群优化的无线传感器网络能量均衡路由算法．该算法利用蚁群的动态适应性和寻优能力在网络最短路径和能量均衡消耗之间进行平衡，以达到网络能量的优化均衡消耗，进而延长整个网络的寿命．仿真实验表明，该算法在延长网络寿命方面效果较显著，与最短路径路由算法相比网络寿命延长超过33％．
英文摘要：
How to make good use of the limited energy to maximize the network life span is an important problem in the study of the wireless sensor networks （WSN）. The life of a WSN depends on the minimum of the residual energy of its nodes. A fair energy usage 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 usage. Simulation results show that the proposed algorithm is good at balancing the energy usage, and it effectively extends the span of the network life. The network life span using the ACO-based fair energy usage routing algorithm is extended over 33% compared with the one using the shortest path optimization algorithm.
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Game-theoretic modeling of joint topology control and power scheduling for wireless heterogeneous se
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