基于跨层设计的传感器网络寿命最大化算法

面向监测应用的无线传感器网络,当链路存在干扰时,节点在传输数据时会对位于其干扰范围内的节点造成信号干扰,从而使得这些节点不能正确收到其它节点传输的数据.针对这种场景下的网络寿命最大化问题,分析了网络流量和节点能耗,提出了一种将功率控制和数据聚合路由相结合的非凸优化模型.通过对数转换方法将非凸优化问题转化为凸优化问题,利用优化理论和方法将凸优化问题分解为聚合数据率分配子问题和功率控制子问题,最后给出了联合优化问题的分布式解法.仿真实验表明,使用该方法可以有效减少数据通信量,均衡各个节点的能量消耗,有效延长网络寿命.

Lifetime Maximization Based on Cross-Layer Design for Wireless Sensor Networks

The lifetime maximization in wireless sensor networks (WSNs) was investigated. Network traffic and power consumption were analyzed, and an optimization model was proposed, which integrated power control and data aggregation. A decomposition algorithm was presented to solve the model by decomposing the model into sub-problems. The optimal transmission power, transmission rate and routing selection solution could be obtained via the subgradient. The simulation results showed that the data traffic can be reduced and energy consumption can be balanced on the basis of the proposed cross-layer design algorithm, and the network lifetime can be prolonged effectively.