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针对大多数现有的无线传感器网络设计方法通常仅找到给定图的最短路径而导致能耗较高的问题,提出了一种寻找节点之间的最短路径和最低能耗的路由优化模型;该模型约束WSN的特定资源,考虑多种约束条件:多周期、最短距离和低能耗;根据混合整数线性规划,使用11.0 ILOG CPLEX优化引擎的ILOG OPL开发工具5.5进行编码和求解本文的优化模型;实验结果表明,在3个不同周期和约束条件下,每组实验中文章模型花费的时间均少于10 s,完全满足资源有限的无线网络应用要求;相比其他几种较新的路由优化模型,文章模型在节能和端到端延迟方面取得了更好的性能。
Aiming at the problem that most existing wireless sensor network design methods only find the shortest path of a given graph and lead to high energy consumption, a routing optimization model is proposed to find the shortest path and the lowest energy consumption between nodes. The model constrains the WSN-specific resources by considering a variety of constraints: multi-cycle, shortest distance, and low energy consumption; the ILOG OPL development tool 5.5 using the 11.0 ILOG CPLEX optimization engine to code and solve the optimal model for this article based on mixed integer linear programming; The results show that under the condition of three different cycles and constraints, the article models consume less than 10 seconds in each experiment, which fully meets the application requirements of wireless network with limited resources. Compared with several other newer routing optimization models, The article model achieved better performance in energy saving and end-to-end delay.