Statistical Delay QoS Provisioning for Energy-Efficient Spectrum-Sharing Based Wireless Ad Hoc Sensor Networks
Statistical Delay QoS Provisioning for Energy-Efficient Spectrum-Sharing Based Wireless Ad Hoc Sensor Networks
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DOI：
10.1155/2016/6545791
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发表时间：
2016-11
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影响因子：
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通讯作者：
Yichen Wang;Wenwen Xu
中科院分区：
文献类型：
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作者：
Yichen Wang;Wenwen Xu
在本文中，我们开发的统计延迟服务质量（QoS）提供框架的能量有效的频谱共享的无线自组织传感器网络（WAHSN），其特征在于延迟约束违反概率。基于建立的延迟QoS提供框架，我们制定了非凸优化问题，其目的是最大限度地提高平均能源效率的传感器节点在WAHSN，同时满足PU的统计延迟QoS的要求，以及满足传感器节点的平均传输速率，平均发射功率，峰值发射功率的约束。利用分式规划、凸船体和概率传输等理论，将原分式结构的非凸问题转化为可加结构的参数凸问题，并通过拉格朗日方法得到给定参数下的最优功率分配策略.最后，我们推导出最优的平均能量效率和相应的最优功率分配方案，采用Dinkelbach方法。仿真结果表明，我们推导出的最优功率分配策略可以动态调整的基础上PU的延迟QoS要求以及信道条件。分析了PU的时延QoS要求对传感器节点能量效率的影响。
In this paper, we develop the statistical delay quality-of-service (QoS) provisioning framework for the energy-efficient spectrum-sharing based wireless ad hoc sensor network (WAHSN), which is characterized by the delay-bound violation probability. Based on the established delay QoS provisioning framework, we formulate the nonconvex optimization problem which aims at maximizing the average energy efficiency of the sensor node in the WAHSN while meeting PU’s statistical delay QoS requirement as well as satisfying sensor node’s average transmission rate, average transmitting power, and peak transmitting power constraints. By employing the theories of fractional programming, convex hull, and probabilistic transmission, we convert the original fractional-structured nonconvex problem to the additively structured parametric convex problem and obtain the optimal power allocation strategy under the given parameter via Lagrangian method. Finally, we derive the optimal average energy efficiency and corresponding optimal power allocation scheme by employing the Dinkelbach method. Simulation results show that our derived optimal power allocation strategy can be dynamically adjusted based on PU’s delay QoS requirement as well as the channel conditions. The impact of PU’s delay QoS requirement on sensor node’s energy efficiency is also illustrated.