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远程侦察指挥平台取得的电子证据能否使用,取决于数据的连续性、完整性及清晰程度,这就对数据传输的延迟和抖动提出了更高的要求。无线传感器网络的设计对远程指挥平台的搭建十分重要,本文提出了基于蚁群优化的Qos路由算法。利用蚁群优化算法自身的分布式计算和自适应能力强等优势,降低了网络链路拥塞率,提高了节点能量利用效率,使远程侦查指挥平台的Qos得到保证。
Whether the electronic evidence obtained by the remote surveillance command platform can be used depends on the continuity, completeness and clarity of the data, which sets higher requirements on delay and jitter of data transmission. The design of wireless sensor network is very important to the construction of long-distance command platform. In this paper, Qos routing algorithm based on ant colony optimization is proposed. Using the advantages of ant colony optimization algorithm such as distributed computation and strong self-adaptive ability, the network link congestion rate is reduced and the node energy utilization efficiency is improved, so that Qos of the remote detection and command platform is guaranteed.