Many theoretical derivation of the energy model requires extensive simulation in Internet of Things (IoT). Network Simulator 3 (ns-3) provides a simulation platform for various experimental studies including energy ha...Many theoretical derivation of the energy model requires extensive simulation in Internet of Things (IoT). Network Simulator 3 (ns-3) provides a simulation platform for various experimental studies including energy harvest.However, the function of charge schedule and wireless energy transfer model is not yet implemented. To address this problem, in this paper we propose an extension to ns-3 for simulating mobile charging with wireless energy transfer.First, we utilize a WET Harvest Class to harvest energy from the environment and a Charge Schedule Class for the mobile charger to choose the optimal node charging in the charging request queue in ns-3. Second, we use Charge Energy Model to judge what the mobile charger will do next when the energy of current node is higher or lower than energy threshold. Evaluation results show that our improvements are feasible and helpful with charge schedule and energy model in ns-3.展开更多
This paper investigates the simultaneous wireless information and powertransfer(SWIPT) for network-coded two-way relay network from an information-theoretic perspective, where two sources exchange information via an S...This paper investigates the simultaneous wireless information and powertransfer(SWIPT) for network-coded two-way relay network from an information-theoretic perspective, where two sources exchange information via an SWIPT-aware energy harvesting(EH) relay. We present a power splitting(PS)-based two-way relaying(PS-TWR) protocol by employing the PS receiver architecture. To explore the system sum rate limit with data rate fairness, an optimization problem under total power constraint is formulated. Then, some explicit solutions are derived for the problem. Numerical results show that due to the path loss effect on energy transfer, with the same total available power, PS-TWR losses some system performance compared with traditional non-EH two-way relaying, where at relatively low and relatively high signalto-noise ratio(SNR), the performance loss is relatively small. Another observation is that, in relatively high SNR regime, PS-TWR outperforms time switching-based two-way relaying(TS-TWR) while in relatively low SNR regime TS-TWR outperforms PS-TWR. It is also shown that with individual available power at the two sources, PS-TWR outperforms TS-TWR in both relatively low and high SNR regimes.展开更多
能量捕获无线传感器网络是解决传统无线传感器网络能量问题的有效途径之一,无线携能通信网络SWIPT(Simultaneous wireless information and power transfer)是其中的一个重要研究方向。研究了一种SWIPT场景,在源节点总功率的约束条件下...能量捕获无线传感器网络是解决传统无线传感器网络能量问题的有效途径之一,无线携能通信网络SWIPT(Simultaneous wireless information and power transfer)是其中的一个重要研究方向。研究了一种SWIPT场景,在源节点总功率的约束条件下,最大化总传输速率。源节点通过在不同的频谱上分配不同的功率发送携能信号给多个中继节点,中继节点对于接收到的携能信号通过功率分配将一部分信号转化为能量,一部分信号解码为信息;中继节点利用捕获的能量将信息转发给目的节点。建立数学模型求解最优的功率分配因子,运用拉格朗日乘数法求得源节点在每个频谱上分配功率的表达式,按照注水算法求得最终分配的功率和最大化的总传输速率,最后通过数值模拟进行了有效性验证。展开更多
为了延长多跳网络的网络寿命,将无线能量传输(wireless energy transfer,WET)技术应用于多跳网络,并提出基于蜂拥算法的最优WET时间的延长网络寿命算法(FENL)。FENL算法先建立基于WET的多跳传输系统模型,并构建最大化网络寿命的目标优...为了延长多跳网络的网络寿命,将无线能量传输(wireless energy transfer,WET)技术应用于多跳网络,并提出基于蜂拥算法的最优WET时间的延长网络寿命算法(FENL)。FENL算法先建立基于WET的多跳传输系统模型,并构建最大化网络寿命的目标优化函数。然后,利用蜂拥算法求解目标函数,进而获取每个节点的最优WET时间,进而最大化网络寿命。仿真结果表明,相比于传统的未采用无线能量采集和WET技术,FENL算法有效地延长了网络寿命,且FENL算法的网络寿命逼近于穷搜索法的网络寿命。展开更多
In this paper, the system performance of a decode-and-forward(DF) full-duplex(FD) adaptive relaying network over the Rician fading environment is proposed, analyzed and demonstrated. In the first stage, the system is ...In this paper, the system performance of a decode-and-forward(DF) full-duplex(FD) adaptive relaying network over the Rician fading environment is proposed, analyzed and demonstrated. In the first stage, the system is presented with the energy harvesting and information transmission processes. After that, the analytical expressions of the achievable throughput, the outage probability, and symbol error ratio(SER) were proposed, analyzed and demonstrated. Finally, the analytical results are also demonstrated by Monte-Carlo simulation in comparison with the closed-form expressions in the influence of the key system parameters. The results show that the analytical and simulated results match for all possible parameter values.展开更多
文摘Many theoretical derivation of the energy model requires extensive simulation in Internet of Things (IoT). Network Simulator 3 (ns-3) provides a simulation platform for various experimental studies including energy harvest.However, the function of charge schedule and wireless energy transfer model is not yet implemented. To address this problem, in this paper we propose an extension to ns-3 for simulating mobile charging with wireless energy transfer.First, we utilize a WET Harvest Class to harvest energy from the environment and a Charge Schedule Class for the mobile charger to choose the optimal node charging in the charging request queue in ns-3. Second, we use Charge Energy Model to judge what the mobile charger will do next when the energy of current node is higher or lower than energy threshold. Evaluation results show that our improvements are feasible and helpful with charge schedule and energy model in ns-3.
基金supported by the National Natural Science Foundation of China ( No . 61602034 )the Beijing Natural Science Foundation (No. 4162049)+2 种基金the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University (No. 2014D03)the Fundamental Research Funds for the Central Universities Beijing Jiaotong University (No. 2016JBM015)the NationalHigh Technology Research and Development Program of China (863 Program) (No. 2015AA015702)
文摘This paper investigates the simultaneous wireless information and powertransfer(SWIPT) for network-coded two-way relay network from an information-theoretic perspective, where two sources exchange information via an SWIPT-aware energy harvesting(EH) relay. We present a power splitting(PS)-based two-way relaying(PS-TWR) protocol by employing the PS receiver architecture. To explore the system sum rate limit with data rate fairness, an optimization problem under total power constraint is formulated. Then, some explicit solutions are derived for the problem. Numerical results show that due to the path loss effect on energy transfer, with the same total available power, PS-TWR losses some system performance compared with traditional non-EH two-way relaying, where at relatively low and relatively high signalto-noise ratio(SNR), the performance loss is relatively small. Another observation is that, in relatively high SNR regime, PS-TWR outperforms time switching-based two-way relaying(TS-TWR) while in relatively low SNR regime TS-TWR outperforms PS-TWR. It is also shown that with individual available power at the two sources, PS-TWR outperforms TS-TWR in both relatively low and high SNR regimes.
文摘能量捕获无线传感器网络是解决传统无线传感器网络能量问题的有效途径之一,无线携能通信网络SWIPT(Simultaneous wireless information and power transfer)是其中的一个重要研究方向。研究了一种SWIPT场景,在源节点总功率的约束条件下,最大化总传输速率。源节点通过在不同的频谱上分配不同的功率发送携能信号给多个中继节点,中继节点对于接收到的携能信号通过功率分配将一部分信号转化为能量,一部分信号解码为信息;中继节点利用捕获的能量将信息转发给目的节点。建立数学模型求解最优的功率分配因子,运用拉格朗日乘数法求得源节点在每个频谱上分配功率的表达式,按照注水算法求得最终分配的功率和最大化的总传输速率,最后通过数值模拟进行了有效性验证。
文摘为了延长多跳网络的网络寿命,将无线能量传输(wireless energy transfer,WET)技术应用于多跳网络,并提出基于蜂拥算法的最优WET时间的延长网络寿命算法(FENL)。FENL算法先建立基于WET的多跳传输系统模型,并构建最大化网络寿命的目标优化函数。然后,利用蜂拥算法求解目标函数,进而获取每个节点的最优WET时间,进而最大化网络寿命。仿真结果表明,相比于传统的未采用无线能量采集和WET技术,FENL算法有效地延长了网络寿命,且FENL算法的网络寿命逼近于穷搜索法的网络寿命。
文摘In this paper, the system performance of a decode-and-forward(DF) full-duplex(FD) adaptive relaying network over the Rician fading environment is proposed, analyzed and demonstrated. In the first stage, the system is presented with the energy harvesting and information transmission processes. After that, the analytical expressions of the achievable throughput, the outage probability, and symbol error ratio(SER) were proposed, analyzed and demonstrated. Finally, the analytical results are also demonstrated by Monte-Carlo simulation in comparison with the closed-form expressions in the influence of the key system parameters. The results show that the analytical and simulated results match for all possible parameter values.
