基于蚁群的无线传感器网络能量感知多路径路由算法

Songzhu Xia, Su Wu
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引用次数: 20

摘要

严格的能量约束是无线传感器网络中最关键的问题之一。为了解决这一问题,本文提出了一种基于蚁群的能量感知多路径路由算法。该算法以节点的可用功率和每条路径的能量消耗作为路由选择的依据,利用蚁群系统的自组织、自适应和动态优化能力,寻找从源节点到汇聚节点的最优路径和多条候选路径。它可以在保证网络连通性的同时,避免耗尽最优路径上节点的能量,延长网络生存期。大量的仿真验证了该算法在能耗和负载均衡方面比传统的路由方法有更好的性能。
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Ant Colony-Based Energy-Aware Multipath Routing Algorithm for Wireless Sensor Networks
Stringent energy constraint is one of the most critical issues in wireless sensor networks. To address this issue, this paper proposes an ant colony-based energy-aware multipath routing algorithm. The algorithm, which considers the available power of nodes and the energy consumption of each path as the reliance of routing selection, utilizes the self-organization, self-adaptability and dynamic optimization capability of ant colony system to find the optimal path and multiple candidate paths from source nodes to sink nodes. It can avoid using up the energy of nodes on the optimal path and prolong the network lifetime while preserving network connectivity. Extensive simulations validate that the algorithm has a better performance in energy consumption and load-balancing with respect to traditional routing methods.
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