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Cooperation with multiple relays in wireless sensor networks: optimal cooperator selection and power assignment

机译：与无线传感器网络中的多个继电器协作：最佳合作者选择和功率分配

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摘要

We consider the energy-minimal joint cooperator set selection and power assignment problem in a cooperation scenario with multiple relays, under transmit power constraints, while satisfying a target frame error rate (FER) at the destination receiver. We first derive the FER of a cooperative system and present a simplified calculation that also involves a simple, yet close approximation to the average bit error rate of a multiple input single output system. Our FER calculation facilitates a closed-form solution for the joint optimization problem, resulting in the Optimal Cooperator Selection and Power Assignment (O-CSPA) algorithm. Next, we devise the Distributed Cooperator Selection and Power Assignment (D-CSPA) algorithm in which the relays individually decide to become a cooperator and determine their power levels. We evaluate the performance of O-CSPA and D-CSPA algorithms under several network topologies, varying target FER levels and different power consumption models, by considering the energy dissipated in the transceiver circuits and amplifiers of all involved nodes. We show that both algorithms provide notable energy savings and conclude that the extent of the savings depends significantly on the power consumption model. D-CSPA's performance is shown to be not only close to that of optimal solution, but also robust to errors in channel estimation.
机译：在发射功率约束下，同时满足目标接收器的目标帧错误率（FER）的情况下，我们考虑了具有多个中继的协作方案中的能量最小联合协作器集选择和功率分配问题。我们首先推导一个协作系统的FER，并给出一个简化的计算，该计算还涉及一个简单但接近多输入单输出系统平均误码率的近似值。我们的FER计算为联合优化问题提供了一种封闭形式的解决方案，从而产生了最佳合作者选择和功率分配（O-CSPA）算法。接下来，我们设计了分布式合作者选择和功率分配（D-CSPA）算法，其中继电器分别决定成为合作者并确定其功率水平。通过考虑所有相关节点的收发器电路和放大器中的能量消耗，我们在几种网络拓扑，变化的目标FER级别和不同的功耗模型下评估O-CSPA和D-CSPA算法的性能。我们展示了两种算法都可以显着节省能源，并得出结论，节省的程度在很大程度上取决于功耗模型。事实证明，D-CSPA的性能不仅接近最佳解决方案，而且对信道估计中的错误也很可靠。

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