We study a heterogeneous Rayleigh fading wireless sensor network (WSN) in which densely deployed sensor nodes monitor an environment and transmit their sensed information to base stations (BSs) using access points (APs) as relays to facilitate the data transfer. We consider both large-scale and small-scale propagation effects in our system model and formulate the node deployment problem as an optimization problem aimed at minimizing the wireless communication network's power consumption. By imposing a desired outage probability constraint on all communication channels, we derive the necessary conditions for the optimal deployment that not only minimize the power consumption, but also guarantee all wireless links to have an outage probability below the given threshold. In addition, we study the necessary conditions for an optimal deployment given ergodic capacity constraints. We compare our node deployment algorithms with similar algorithms in the literature and demonstrate their efficacy and superiority.
翻译:我们研究一个不同的雷利消退无线传感器网络(WSN),在这个网络中,密集部署的传感器节点监测环境,并将其感知信息传送给基地站,使用接入点作为中继器,便利数据传输。我们认为系统模型中的大规模和小规模传播效应,并将节点部署问题视为一个优化问题,目的是最大限度地减少无线通信网络的电力消耗。通过对所有通信渠道施加预期的超速概率限制,我们为最佳部署创造了必要的条件,不仅最大限度地减少电力消耗,而且保证所有无线连接的超速概率低于给定阈值。此外,我们还研究在出现热力限制的情况下优化部署的必要条件。我们将我们的节点部署算法与文献中的类似算法进行比较,并展示其功效和优越性。