基于轻量化计算的WSN动态干扰模型与调度策略

由于WSN的动态性和不确定性,并发传输数据会产生同道干扰现象,这会极大地影响网络的可靠性,并降低全网吞吐量。文中着眼于构建WSN的优化干扰模型,对干扰集合进行了自适应动态估算,并在该基础上设计了一种链路调度机制,以最小的网络代价实现干扰集外数据传输的最大并发数,从而在保证预期可靠性的前提下,将网络吞吐量最大化,同时节省节点能量损耗,提高网络生存能力。

WSN Dynamic Interference Model and Scheduling Strategy Based on Lightweight Computing

Due to the dynamic and uncertain nature of WSN, concurrent transmission of data will produce co-channel interference, which will greatly affect the reliability of the network and reduce the throughput of the whole network. This paper focuses on building an optimized interference model for WSN, adaptively dynamically estimating the interference set, and on this basis, a link scheduling mechanism is designed to achieve the maximum concurrency of data transmission outside the interference set with the minimum network cost, so as to maximize the network throughput on the premise of ensuring the expected reliability, while saving node energy loss and improving network survivability.